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ORCIDnpj Digital Medicine, Volume 7
Volume 7, Number 1, 2024
- Kyung Hwa Lee
, Gwang Hyeon Choi, Jihye Yun, Jonggi Choi, Myung Ji Goh, Dong Hyun Sinn, Young Joo Jin, Minseok Albert Kim, Su Jong Yu, Sangmi Jang, Soon Kyu Lee, Jeong Won Jang, Jae Seung Lee, Do Young Kim, Young Youn Cho, Hyung Joon Kim, Sehwa Kim, Ji Hoon Kim, Namkug Kim, Kang Mo Kim:
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. - Eunjung Lee, Saki Ito, William R. Miranda, Francisco Lopez-Jimenez, Garvan C. Kane, Samuel J. Asirvatham, Peter A. Noseworthy, Paul A. Friedman, Rickey E. Carter, Barry A. Borlaug, Zachi Attia, Jae K. Oh:
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. - Bing Li, Huan Chen, Weihong Yu, Ming Zhang, Fang Lu, Jingxue Ma, Yuhua Hao, Xiaorong Li, Bojie Hu, Lijun Shen, Jianbo Mao, Xixi He, Hao Wang, Dayong Ding, Xirong Li, Youxin Chen:
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial. - Alan Godfrey, Dylan Powell:
UK funding agency launches digital health hubs: a new catalyst for change? - Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang, Xi Chen, Nan Yan, Hanjun Liu:
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. - Aaron T. C. Chan, Roy T. F. Ip, Joshua Y. S. Tran, Joyce Y. C. Chan, Kelvin Kam-fai Tsoi:
Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis. - Ashkan Dehghani Zahedani, Tracey McLaughlin, Arvind Veluvali, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder:
Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health. - Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi:
Digital remote monitoring for screening and early detection of urinary tract infections. - Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Large language models to identify social determinants of health in electronic health records. - Michael Putzier, T. Khakzad, M. Dreischarf, Sylvia Thun, F. Trautwein, N. Taheri:
Implementation of cloud computing in the German healthcare system. - Amruta Pai, Rony Santiago, Namino Glantz, Wendy Bevier, Souptik Barua, Ashutosh Sabharwal, David Kerr:
Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes. - Martin Dugas, Max Blumenstock, Tobias Dittrich, Urs Eisenmann, Stephan Christoph Feder, Fleur Fritz-Kebede, Lucy J. Kessler, Maximilian Klass, Petra Knaup, Christoph U. Lehmann, Angela Merzweiler, Christian Niklas, Thomas M. Pausch, Nelly Zental, Matthias Ganzinger:
Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support. - Jing Wang, Le Xue, Jiehui Jiang, Fengtao Liu, Ping Wu, Jiaying Lu, Huiwei Zhang, Weiqi Bao, Qian Xu, Zizhao Ju, Li Chen, Fangyang Jiao, Huamei Lin, Jingjie Ge, Chuantao Zuo, Mei Tian:
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis. - Daniel C. Baumgart:
An intriguing vision for transatlantic collaborative health data use and artificial intelligence development. - Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun:
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. - Mateo Aboy, Cristina Crespo, Ariel Dora Stern:
Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway. - Kaushik P. Venkatesh, Marium M. Raza, Grace C. Nickel, Serena Wang, Joseph C. Kvedar:
Deep learning models across the range of skin disease. - Wenjianlong Zhou, Zhongyan Wang, Qin Xu, Xiangxiang Liu, Junshi Li, Huaiqiang Yu, Hui Qiao, Lirui Yang, Liangpeng Chen, Yuan Zhang, Zhe Huang, Yuxing Pang, Zhitong Zhang, Jiayan Zhang, Xiudong Guan, Shunchang Ma, Yingjie Ren, Xiaoyi Shi, Linhao Yuan, Deling Li, Dong Huang, Zhihong Li, Jia Wang:
Wireless facial biosensing system for monitoring facial palsy with flexible microneedle electrode arrays. - David A. Simon, Sara Raza, Carmel Shachar, I. Glenn Cohen:
Using digital technologies to diagnose in the home: recommendations from a Delphi panel. - Serena C. Y. Wang, Grace C. Nickel, Kaushik P. Venkatesh, Marium M. Raza, Joseph C. Kvedar:
AI-based diabetes care: risk prediction models and implementation concerns. - Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, Shehroz S. Khan:
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. - Aubrey A. Shick, Christina M. Webber, Nooshin Kiarashi, Jessica P. Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C. Diamond:
Transparency of artificial intelligence/machine learning-enabled medical devices. - Yue Shen, Huanyu Li, Can Sun, Hongtao Ji, Daojun Zhang, Kun Hu, Yiqi Tang, Yu Chen, Zikun Wei, Junwei Lv:
Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques. - Shobha Dasari, Raihana Mehreen, Kristin Baker Spohn, Andrey Ostrovsky:
Opportunities for CMS to improve healthcare access and equity through advancing technology-enabled startups and digital health innovations. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil, Robert Chernoff, Kavya Reddy, Muskaan Mehra:
Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Thomas Savage, Ashwin Nayak, Robert Gallo, Ekanath Rangan, Jonathan H. Chen:
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. - Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi:
Impact of a deep learning sepsis prediction model on quality of care and survival. - Tran Anh Tuan, Tal Ze'evi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam DeHavenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash:
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. - Bastien Lechat, Ganesh R. Naik, Sarah Appleton, Jack Manners, Hannah Scott, Duc Phuc Nguyen, Pierre Escourrou, Robert J. Adams, Peter G. Catcheside, Danny J. Eckert:
Regular snoring is associated with uncontrolled hypertension. - Sarah K. Schäfer, Lisa von Boros, Lea M. Schaubruch, Angela M. Kunzler, Saskia Lindner, Friederike Koehler, Tabea Werner, Federico Zappalà, Isabella Helmreich, Michèle Wessa, Klaus Lieb, Oliver Tüscher:
Digital interventions to promote psychological resilience: a systematic review and meta-analysis. - Ruoyu Chen, Weiyi Zhang, Fan Song, Honghua Yu, Dan Cao, Yingfeng Zheng, Mingguang He, Danli Shi:
Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening. - Yibo Zhang, Zijian Yang, Ruanqi Chen, Yanli Zhu, Li Liu, Jiyan Dong, Zicheng Zhang, Xujie Sun, Jianming Ying, Dongmei Lin, Lin Yang, Meng Zhou:
Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer. - Cristian David Ríos-Urrego, Jan Rusz, Juan Rafael Orozco-Arroyave:
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. - Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Yu-Yuan Yang, Ming-Yang Ho, Chung-Hwei Tai, Ruey-Meei Wu, Ming-Che Kuo, Yufeng Jane Tseng:
FastEval Parkinsonism: an instant deep learning-assisted video-based online system for Parkinsonian motor symptom evaluation. - Soumik Mandal, Batia Mishan Wiesenfeld, Devin M. Mann, Adam Szerencsy, Eduardo Iturrate, Oded Nov:
Quantifying the impact of telemedicine and patient medical advice request messages on physicians' work-outside-work. - Stephen Gilbert, Katie Baca-Motes, Giorgio Quer, Marc Wiedermann, Dirk Brockmann:
Citizen data sovereignty is key to wearables and wellness data reuse for the common good. - Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton:
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. - Karin R. Jongsma, Martin Sand, Megan M. Milota:
Why we should not mistake accuracy of medical AI for efficiency. - Christina Schulte, Mathias Harrer, Cedric Sachser, Jasmina Weiss, Anna-Carlotta Zarski:
Internet- and mobile-based psychological interventions for post-traumatic stress symptoms in youth: a systematic review and meta-analysis. - Elma Dervic, Johannes Sorger, Liuhuaying Yang, Michael Leutner, Alexander Kautzky, Stefan Thurner, Alexandra Kautzky-Willer, Peter Klimek:
Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks. - Yawei Li, Xin Wu, Deyu Fang, Yuan Luo:
Informing immunotherapy with multi-omics driven machine learning. - Karnika Singh, Sarah C. Armstrong, Brooke E. Wagner, Julie Counts, Asheley Skinner, Melissa Kay, Jennifer S. Li, Svati Shah, Nancy Zucker, Cody Neshteruk, Mary Story, Lilianna Suarez, William E. Kraus, Alexandra R. Zizzi, Jessilyn Dunn:
Physical activity and sleep changes among children during the COVID-19 pandemic. - Hana Bangash, Seyedmohammad Saadatagah, Mohammadreza Naderian, Marwan E. Hamed, Lubna Alhalabi, Alborz Sherafati, Joseph Sutton, Omar Elsekaily, Ali Mir, Justin H. Gundelach, Daniel Gibbons, Paul J. Johnsen, Christina M. Wood-Wentz, Carin Y. Smith, Pedro J. Caraballo, Kent R. Bailey, Iftikhar J. Kullo:
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. - Yong Yang Yan, Lily Man Lee Chan, Man Ping Wang, Jojo Yan Yan Kwok, Craig S. Anderson, Jung Jae Lee:
Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis. - Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon:
Evaluating reliability in wearable devices for sleep staging. - Thomas A. Lasko, Eric V. Strobl, William W. Stead:
Why do probabilistic clinical models fail to transport between sites. - Chao Yan, Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden, C. Michael Stein, Peter J. Embí, Josh F. Peterson, QiPing Feng, Bradley A. Malin, Wei-Qi Wei:
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. - Li Wang, Xi Chen, Xiangwen Deng, Hao Wen, MingKe You, Weizhi Liu, Qi Li, Jian Li:
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs. - Md. Mobashir Hasan Shandhi, Karnika Singh, Natasha Janson, Perisa Ashar, Geetika Singh, Baiying Lu, D. Sunshine Hillygus, Jennifer Maddocks, Jessilyn P. Dunn:
Assessment of ownership of smart devices and the acceptability of digital health data sharing. - Christine Manta Campbell, Courtney Webster, Megan Parisi, Roya Sherafat-Kazemzadeh, Jessica Braid, Thomas Switzer, Marcelo Alves Fávaro, Caprice Sassano, Andrea R. Coravos:
An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection. - Shkurta Gashi, Pietro Oldrati, Max Möbus, Marc Hilty, Liliana Barrios, Firat Ozdemir, Veronika Kana, Andreas Lutterotti, Gunnar Rätsch, Christian Holz:
Modeling multiple sclerosis using mobile and wearable sensor data. - Jethro C. C. Kwong, Grace C. Nickel, Serena C. Y. Wang, Joseph C. Kvedar:
Integrating artificial intelligence into healthcare systems: more than just the algorithm. - James M. Hillis, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest-Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole:
The lucent yet opaque challenge of regulating artificial intelligence in radiology. - Christopher J. Duckworth, Bethany Cliffe, John Brian Pickering, Ben Ainsworth, Alison Blythin, Adam Kirk, Tom M. A. Wilkinson, Michael J. Boniface:
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance. - Yueye Wang, Chi Liu, Wenyi Hu, Lixia Luo, Danli Shi, Jian Zhang, Qiuxia Yin, Lei Zhang, Xiaotong Han, Mingguang He:
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case. - Julie C. Lauffenburger, Elad Yom-Tov, Punam A. Keller, Marie E. McDonnell, Katherine L. Crum, Gauri Bhatkhande, Ellen S. Sears, Kaitlin Hanken, Lily G. Bessette, Constance P. Fontanet, Nancy Haff, Seanna Vine, Niteesh K. Choudhry:
The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. - Jay A. Pandit, Jeff B. Pawelek, Bruce Leff, Eric J. Topol:
The hospital at home in the USA: current status and future prospects. - Zoë W. Hawks, Emorie D. Beck, Laneé Jung, Luciana Mascarenhas Fonseca, Martin J. Sliwinski, Ruth S. Weinstock, Elizabeth Grinspoon, I. Xu, Roger W. Strong, Shifali Singh, Hans P. A. Van Dongen, Madelyn Frumkin, J. Bulger, M. J. Cleveland, K. Janess, Yogish C. Kudva, R. Pratley, Michael R. Rickels, Shafaq R. Rizvi, Naomi Chaytor, Laura T. Germine:
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes. - Marium M. Raza, Kaushik P. Venkatesh, Joseph C. Kvedar:
Generative AI and large language models in health care: pathways to implementation. - Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. - Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein:
Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. - Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. - Dylan Powell:
Walk, talk, think, see and feel: harnessing the power of digital biomarkers in healthcare. - Mihir A. Kelshiker, Karanjot Chhatwal, Patrik Bachtiger, Josephine Mansell, Nicholas S. Peters, Daniel B. Kramer:
From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular procedures. - Simon Hanassab, Ali Abbara, Arthur C. Yeung, Margaritis Voliotis, Krasimira Tsaneva-Atanasova, Tom W. Kelsey, Geoffrey H. Trew, Scott M. Nelson, Thomas Heinis, Waljit S. Dhillo:
The prospect of artificial intelligence to personalize assisted reproductive technology. - Loran Knol, Anisha Nagpal, Imogen E. Leaning, Elena Idda, Faraz Hussain, Emma Ning, Tory A. Eisenlohr-Moul, Christian F. Beckmann, Andre F. Marquand, Alex D. Leow:
Smartphone keyboard dynamics predict affect in suicidal ideation. - Jason Moore, Peter McMeekin, Thomas Parkes, Richard Walker, Rosie Morris, Samuel Stuart, Victoria Hetherington, Alan Godfrey:
Contextualizing remote fall risk: Video data capture and implementing ethical AI. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil, Robert Chernoff, Kavya Reddy, Muskaan Mehra:
Author Correction: Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Teyl Engstrom, Elton H. Lobo, Kristie Watego, Carmel Nelson, Jinxiang Wang, Howard Wong, Sungkyung Linda Kim, Soo In Oh, Michael Lawley, Alain-Dominique Gorse, James Ward, Clair Sullivan:
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review. - Lisa Weik, Leonard Fehring, Achim Mortsiefer, Sven Meister:
Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. - Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint:
Personalized mood prediction from patterns of behavior collected with smartphones. - Davy van de Sande, Eline Fung Fen Chung, Jacobien H. F. Oosterhoff, Jasper van Bommel, Diederik Gommers, Michel E. van Genderen:
To warrant clinical adoption AI models require a multi-faceted implementation evaluation. - Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani:
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - Kayo Waki, Mitsuhiko Nara, Syunpei Enomoto, Makiko Mieno, Eiichiro Kanda, Akiko Sankoda, Yuki Kawai, Kana Miyake, Hiromichi Wakui, Yuya Tsurutani, Nobuhito Hirawa, Tadashi Yamakawa, Shiro Komiya, Akihiro Isogawa, Shinobu Satoh, Taichi Minami, Tamio Iwamoto, Tatsuro Takano, Yasuo Terauchi, Kouichi Tamura, Toshimasa Yamauchi, Masaomi Nangaku, Naoki Kashihara, Kazuhiko Ohe:
Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial. - Raluca Balan, Anca Dobrean, Costina Ruxandra Pasarelu:
Use of automated conversational agents in improving young population mental health: a scoping review. - Jan-Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik, Uwe Platzbecker, Carsten Müller-Tidow, Hubert Serve, Claudia D. Baldus, Christoph Schliemann, Kerstin Schäfer-Eckart, Maher Hanoun, Martin Kaufmann, Andreas Burchert, Christian Thiede, Johannes Schetelig, Martin Sedlmayr, Martin Bornhäuser, Markus Wolfien, Jan Moritz Middeke:
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. - Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng:
Digital twins for health: a scoping review. - Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa:
Evaluating large language models as agents in the clinic. - Isabelle Krakowski, Jiyeong Kim, Zhuo Ran Cai, Roxana Daneshjou, Jan Lapins, Hanna Eriksson, Anastasia Lykou, Eleni Linos:
Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis. - William Boag, Alifia Hasan, Jee Young Kim, Mike Revoir, Marshall Nichols, William Ratliff, Michael Gao, Shira Zilberstein, Zainab Samad, Zahra Hoodbhoy, Mushyada Ali, Nida Saddaf Khan, Manesh Patel, Suresh Balu, Mark P. Sendak:
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. - Neil A. Busis, Dilshad Marolia, Robert Montgomery, Laura J. Balcer, Steven L. Galetta, Scott N. Grossman:
Navigating the U.S. regulatory landscape for neurologic digital health technologies. - Dylan Powell, Aiden Hannah:
The dichotomy of diagnostics: exploring the value for consumers, clinicians and care pathways. - Christina Silcox, Eyal Zimlichman, Katie Huber, Neil Rowen, Robert Saunders, Mark McClellan, Charles N. Kahn, Claudia A. Salzberg, David W. Bates:
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. - Harriet Evans, David R. J. Snead:
Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact. - Garrett Skinner, Tina Chen, Gabriel Jentis, Yao Liu, Christopher McCulloh, Alan Harzman, Emily Huang, Matthew Kalady, Peter Kim:
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery. - Simone Kresevic, Mauro Giuffrè, Milos Ajcevic, Agostino Accardo, Lory S. Crocè, Dennis L. Shung:
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. - Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty:
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. - David Berron, Wenzel Glanz, Lindsay Clark, Kristin Basche, Xenia Grande, Jeremie Güsten, Ornella Billette, Ina Hempen, Muhammad Hashim Naveed, Nadine Diersch, Michaela Butryn, Annika Spottke, Katharina Buerger, Robert Perneczky, Anja Schneider, Stefan Teipel, Jens Wiltfang, Sterling C. Johnson, Michael Wagner, Frank Jessen, Emrah Düzel:
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. - Stephen Gilbert, Francesco Ricciardi, Tauseef Mehrali, Constantinos Patsakis:
Can we learn from an imagined ransomware attack on a hospital at home platform? - Jethro C. C. Kwong, Jeremy Wu, Shamir Malik, Adree Khondker, Naveen Gupta, Nicole Bodnariuc, Krishnateja Narayana, Mikail Malik, Theodorus H. van der Kwast, Alistair E. W. Johnson, Alexandre R. Zlotta, Girish S. Kulkarni:
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. - Laura Maaß, Hajo Zeeb, Heinz Rothgang:
International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study. - Anlin Luo, Shuiping Gou, Nuo Tong, Bo Liu, Licheng Jiao, Hu Xu, Yingchun Wang, Tan Ding:
Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment. - Matteo Salvador, Marina Strocchi, Francesco Regazzoni, Christoph M. Augustin, Luca Dede', Steven A. Niederer, Alfio Quarteroni:
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations. - Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Rachel K. Lim, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein:
Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. - Audrey Lee, Turner S. Baker, Joshua B. Bederson, Benjamin I. Rapoport:
Levels of autonomy in FDA-cleared surgical robots: a systematic review. - Stephanie L. McNamara, Paul H. Yi, William Lotter:
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. - Ze Jin, Taehyun Hwang, Daehoon Kim, Byounghyun Lim, Oh-Seok Kwon, Sangbin Kim, Moon-Hyun Kim, Je-Wook Park, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Boyoung Joung, Moon-Hyoung Lee, Hui-Nam Pak:
Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins. - Neal Yuan, Nathan R. Stein, Grant Duffy, Roopinder K. Sandhu, Sumeet S. Chugh, Peng-Sheng Chen, Carine Rosenberg, Christine M. Albert, Susan Cheng, Robert J. Siegel, David Ouyang:
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation. - Sulaiman Somani, Sujana Balla, Allison W. Peng, Ramzi Dudum, Sneha Jain, Khurram Nasir, David J. Maron, Tina Hernandez-Boussard, Fátima Rodriguez:
Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence. - Bing Zhai, Greg J. Elder, Alan Godfrey:
Challenges and opportunities of deep learning for wearable-based objective sleep assessment. - Alessia Maccaro, Vasiliki Tsiompanidou, Davide Piaggio, Alba M. Gallego Monteja, Gloria Cea Sáncez, Jordi de Batlle, Adrian Quesada Rodriguez, Giuseppe Fico, Leandro Pecchia:
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience. - Stephen Gilbert, Jakob Nikolas Kather, Aidan Hogan:
Augmented non-hallucinating large language models as medical information curators. - Kaushik P. Venkatesh, Kushal T. Kadakia, Stephen Gilbert:
Learnings from the first AI-enabled skin cancer device for primary care authorized by FDA. - Joyce Y. C. Chan, Jiani Liu, Aaron T. C. Chan, Kelvin Kam-fai Tsoi:
Exergaming and cognitive functions in people with mild cognitive impairment and dementia: a meta-analysis. - Shuyan Liu, Matthias Haucke, Luisa Wegner, Jennifer Gates, Till Bärnighausen, Maya Adam:
Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial. - Rebecca Mathias, Peter G. McCulloch, Anastasia Chalkidou, Stephen Gilbert:
How can regulation and reimbursement better accommodate flexible suites of digital health technologies? - Ben Singh, Mavra Ahmed, Amanda E. Staiano, Claire Gough, Jasmine Petersen, Corneel Vandelanotte, Chelsea L. Kracht, Christopher Huong, Zenong Yin, Maria F. Vasiloglou, Chen-Chia Pan, Camille E. Short, Matthew Mclaughlin, Lauren von Klinggraeff, Christopher D. Pfledderer, Lisa J. Moran, Alyssa M. Button, Carol A. Maher:
A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. - Zixiao Yin, Huiling Yu, Tianshuo Yuan, Clay Smyth, Md Fahim Anjum, Guanyu Zhu, Ruoyu Ma, Yichen Xu, Qi An, Yifei Gan, Timon Merk, Guofan Qin, Hutao Xie, Ning Zhang, Chunxue Wang, Yin Jiang, Fangang Meng, Anchao Yang, Wolf-Julian Neumann, Philip A. Starr, Simon Little, Luming Li, Jianguo Zhang:
Generalized sleep decoding with basal ganglia signals in multiple movement disorders. - Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung:
A multi-center study on the adaptability of a shared foundation model for electronic health records. - Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, Amy C. Reynolds, Kathleen J. Maddison, Maja Bucan, Philip Gehrman, Alex V. Rowlands, David W. Ray, Derrick Bennett, Joanne McVeigh, Leon Straker, Peter R. Eastwood, Simon D. Kyle, Aiden R. Doherty:
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality. - Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Dídac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre F. Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang:
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. - M. Eric Hyndman, Robert J. Paproski, Adam Kinnaird, Adrian Fairey, Leonard S. Marks, Christian P. Pavlovich, Sean A. Fletcher, Roman Zachoval, Vanda Adamcova, Jiri Stejskal, Armen Aprikian, Christopher J. D. Wallis, Desmond Pink, Catalina Vasquez, Perrin H. Beatty, John D. Lewis:
Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform. - Alexandra Valetopoulou, Simon C. Williams, Hani J. Marcus:
Can artificial intelligence improve medicine's uncomfortable relationship with Maths? - Maximilian U. Friedrich, Anna-Julia Roenn, Chiara Palmisano, Jane E. Alty, Steffen Paschen, Günther Deuschl, Chi Wang Ip, Jens Volkmann, Muthuraman Muthuraman, Robert L. Peach, Martin M. Reich:
Validation and application of computer vision algorithms for video-based tremor analysis. - Silvan Hornstein, Jonas Scharfenberger, Ulrike Lueken, Richard Wundrack, Kevin Hilbert:
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing. - Federico Mason, Amitabh C. Pandey, Matteo Gadaleta, Eric J. Topol, Evan D. Muse, Giorgio Quer:
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment. - Jesse F. Phipps, Bryant Passage, Kaan Sel, Jonathan Martinez, Milad Saadat, Teddy Koker, Natalie Damaso, Shakti Davis, Jeffrey Palmer, Kajal T. Claypool, Christopher Kiley, Roderic I. Pettigrew, Roozbeh Jafari:
Early adverse physiological event detection using commercial wearables: challenges and opportunities. - Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu:
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. - Robert Kaczmarczyk, Theresa Isabelle Wilhelm, Ron Martin, Jonas Roos:
Evaluating multimodal AI in medical diagnostics. - Joschka Haltaufderheide, Robert Ranisch:
The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs). - Daniel Schwabe, Katinka Becker, Martin Seyferth, Andreas Klaß, Tobias Schaeffter:
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review. - Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng:
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. - Juzhao Zhang, Senlin Lin, Tianhao Cheng, Yi Xu, Lina Lu, Jiangnan He, Tao Yu, Yajun Peng, Yuejie Zhang, Haidong Zou, Yingyan Ma:
RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis. - Weishan Zhang, Yun Ling, Zhonglue Chen, Kang Ren, Shengdi Chen, Pei Huang, Yuyan Tan:
Wearable sensor-based quantitative gait analysis in Parkinson's disease patients with different motor subtypes. - Mengyi Liu, Xianhui Qin:
Reply to: Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease: need more evidence. - Jethro C. C. Kwong, Serena C. Y. Wang, Grace C. Nickel, Giovanni E. Cacciamani, Joseph C. Kvedar:
The long but necessary road to responsible use of large language models in healthcare research. - Hanwen Wang, Theinmozhi Arulraj, Alberto Ippolito, Aleksander S. Popel:
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling. - Assaf Zadka, Neta Rabin, Eran Gazit, Anat Mirelman, Alice Nieuwboer, Lynn Rochester, Silvia Del Din, Elisa Pelosin, Laura Avanzino, Bastiaan R. Bloem, Ugo Della Croce, Andrea Cereatti, Jeffrey M. Hausdorff:
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. - Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes:
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. - Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang:
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Claire Garnett, Larisa-Maria Dinu, Melissa Oldham, Olga Perski, Gemma Loebenberg, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown:
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app? - Sarah Wilson, Clare L. Tolley, Ríona Mc Ardle, Lauren Lawson, Emily Beswick, Nehal Hassan, Robert Slight, Sarah P. Slight:
Recommendations to advance digital health equity: a systematic review of qualitative studies. - Stephen Gilbert:
The EU passes the AI Act and its implications for digital medicine are unclear. - Elham Hatef, Renee F. Wilson, Allen Zhang, Susan M. Hannum, Hadi Kharrazi, Stacey A. Davis, Iman Foroughmand, Jonathan P. Weiner, Karen A. Robinson:
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review. - Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi, Jihu Mun, Farhan Ahmed, Gilvir Gill, Adithya V. Ganesan, Shashanka Subrahmanya, Nikita Soni, Sean A. P. Clouston, H. Andrew Schwartz:
Robust language-based mental health assessments in time and space through social media. - Zeshan M. Hussain, Edward De Brouwer, Rebecca Boiarsky, Sama Setty, Neeraj Gupta, Guohui Liu, Cong Li, Jaydeep Srimani, Jacob Zhang, Rich Labotka, David A. Sontag:
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma. - Maria Paz Salinas, Javiera Sepulveda, Leonel Hidalgo, Dominga Peirano, Macarena Morel, Pablo Uribe, Veronica Rotemberg, Juan Briones, Domingo Mery, Cristian Navarrete-Dechent:
Author Correction: A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. - Mei-di Shen, Si-bing Chen, Xiang-dong Ding:
The effectiveness of digital twins in promoting precision health across the entire population: a systematic review. - Naveenah Udaya Surian, Arsen O. Batagov, Andrew Wu, Wenbin Lai, Yan Sun, Yong Mong Bee, Rinkoo Dalan:
A digital twin model incorporating generalized metabolic fluxes to identify and predict chronic kidney disease in type 2 diabetes mellitus. - Aidan Gilson, David Chartash, Richard Andrew Taylor, Laura C. Hart:
Computationally derived transition points across phases of clinical care. - Mukund Poddar, Jayson S. Marwaha, William Yuan, Santiago Romero-Brufau, Gabriel A. Brat:
An operational guide to translational clinical machine learning in academic medical centers. - Zonghe Xu, Lin Zhou, Bin Han, Shuang Wu, Yanjun Xiao, Sihui Zhang, Jiang Chen, Jianbin Guo, Dong Wu:
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study. - Valentina Bellemo, Ankit Kumar Das, Syna Sreng, Jacqueline Chua, Damon Wing Kee Wong, Janika Shah, Rahul Jonas, Bingyao Tan, Xinyu Liu, Xinxing Xu, Gavin Siew Wei Tan, Rupesh Agrawal, Daniel Shu Wei Ting, Liu Yong, Leopold Schmetterer:
Optical coherence tomography choroidal enhancement using generative deep learning. - Linea Schmidt, Marc Pawlitzki, Bernhard Y. Renard, Sven G. Meuth, Lars Masanneck:
The three-year evolution of Germany's Digital Therapeutics reimbursement program and its path forward. - Li-Hua Chen, Tong Liu:
Association of accelerometer-measured physical activity and incident Parkinson's disease: insights and future research directions. - Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying impairment and disease severity using AI models trained on healthy subjects. - Ashley Cordes, Marieke A. R. Bak, Mataroria P. Lyndon, Maui Hudson, Amelia Fiske, Leo Anthony Celi, Stuart McLennan:
Competing interests: digital health and indigenous data sovereignty. - Devin M. Mann, Elizabeth R. Stevens, Paul A. Testa, Nader Mherabi:
From silos to synergy: integrating academic health informatics with operational IT for healthcare transformation. - Jiyeong Kim, Kimberly G. Leonte, Michael L. Chen, John B. Torous, Eleni Linos, Anthony Pinto, Carolyn I. Rodriguez:
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder. - Raúl López-Izquierdo, Carlos del Pozo Vegas, Ancor Sanz-García, Agustín Mayo-Íscar, Miguel Ángel Castro Villamor, Eduardo Silva Alvarado, Santos Gracia Villar, Luis Alonso Dzul López, Silvia Aparicio Obregon, Rubén Calderon Iglesias, Joan B. Soriano, Francisco Martín-Rodríguez:
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs. - Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi:
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. - Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather Ross, Chris McIntosh:
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. - Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert Freeman, Ira S. Hofer, Girish N. Nadkarni, Prem Timsina, Arash Kia, Matthew A. Levin:
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. - Jules M. Janssen Daalen, Robin van den Bergh, Eva M. Prins, Mahshid Sadat Chenarani Moghadam, Rudie van den Heuvel, Jeroen Veen, Soania Mathur, Hannie Meijerink, Anat Mirelman, Sirwan K. L. Darweesh, Luc J. W. Evers, Bastiaan R. Bloem:
Digital biomarkers for non-motor symptoms in Parkinson's disease: the state of the art. - Maria Paz Salinas, Javiera Sepulveda, Leonel Hidalgo, Dominga Peirano, Macarena Morel, Pablo Uribe, Veronica Rotemberg, Juan Briones, Domingo Mery, Cristian Navarrete-Dechent:
A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. - Zonghe Xu, Lin Zhou, Bin Han, Shuang Wu, Yanjun Xiao, Sihui Zhang, Jiang Chen, Jianbin Guo, Dong Wu:
Author Correction: Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study. - Rebecca Mathias, Peter G. McCulloch, Anastasia Chalkidou, Stephen Gilbert:
Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings. - Jingwei Huang, Donghan M. Yang, Ruichen Rong, Kuroush Nezafati, Colin Treager, Zhikai Chi, Shidan Wang, Xian Cheng, Yujia Guo, Laura J. Klesse, Guanghua Xiao, Eric D. Peterson, Xiaowei Zhan, Yang Xie:
A critical assessment of using ChatGPT for extracting structured data from clinical notes. - Arun James Thirunavukarasu, Nikhil Jain, Rohan Sanghera, Federico Lattuada, Shathar Mahmood, Anna Economou, Helmut C. Y. Yu, Rupert Bourne:
A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria. - Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert:
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. - Henrik Podéus, Christian Simonsson, Patrik Nasr, Mattias Ekstedt, Stergios Kechagias, Peter Lundberg, William Lövfors, Gunnar Cedersund:
A physiologically-based digital twin for alcohol consumption - predicting real-life drinking responses and long-term plasma PEth. - Paola Daniore, Vasileios Nittas, Christina Haag, Jürgen Bernard, Roman Gonzenbach, Viktor von Wyl:
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. - Sun Joo Grace Ahn, Michael D. Schmidt, Allan D. Tate, Stephen L. Rathbun, James J. Annesi, Lindsay S. Hahn, Eric Novotny, Christian D. Okitondo, Rebecca N. Grimsley, Kyle Johnsen:
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children. - Ji Hyeun Park, Changwon Wang, Hangsik Shin:
FDA-cleared home sleep apnea testing devices. - Fabin Lin, Yixiang Lin, Lina Chen, Tingting Huang, Tianxin Lin, Jiarui He, Xiaoyang Lu, Xiaochun Chen, Yingqing Wang, Qinyong Ye, Guoen Cai:
Association of physical activity pattern and risk of Parkinson's disease. - Robert L. Peach, Maximilian U. Friedrich, Lara Fronemann, Muthuraman Muthuraman, Sebastian R. Schreglmann, Daniel Zeller, Christoph Schrader, Joachim K. Krauss, Alfons Schnitzler, Matthias Wittstock, Ann-Kristin Helmers, Steffen Paschen, Andrea A. Kühn, Inger Marie Skogseid, Wilhelm Eisner, Joerg Mueller, Cordula Matthies, Martin M. Reich, Jens Volkmann, Chi Wang Ip:
Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning. - Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, Amy C. Reynolds, Kathleen J. Maddison, Maja Bucan, Philip Gehrman, Alex V. Rowlands, David W. Ray, Derrick Bennett, Joanne McVeigh, Leon Straker, Peter R. Eastwood, Simon D. Kyle, Aiden R. Doherty:
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality. - Jane J. Huang, Roomasa Channa, Risa M. Wolf, Yiwen Dong, Mavis Liang, Jiangxia Wang, Michael D. Abràmoff, T. Y. Alvin Liu:
Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. - Ho-Joon Lee, Lee H. Schwamm, Lauren H. Sansing, Hooman Kamel, Adam DeHavenon, Ashby C. Turner, Kevin N. Sheth, Smita Krishnaswamy, Cynthia Brandt, Hongyu Zhao, Harlan M. Krumholz, Richa Sharma:
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. - Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk:
PatchSorter: a high throughput deep learning digital pathology tool for object labeling. - Sara Isernia, Sonia Di Tella, Federica Rossetto, Francesca Borgnis, Olivia Realdon, Monia Cabinio, Chiara Pagliari, Alessandro Torchio, Anna Castagna, Valeria Blasi, Maria Caterina Silveri, Francesca Baglio:
Exploring cognitive reserve's influence: unveiling the dynamics of digital telerehabilitation in Parkinson's Disease Resilience. - Zhongwen Li, He Xie, Zhouqian Wang, Daoyuan Li, Kuan Chen, Xihang Zong, Wei Qiang, Feng Wen, Zhihong Deng, Limin Chen, Huiping Li, He Dong, Pengcheng Wu, Tao Sun, Yan Cheng, Yanning Yang, Jinsong Xue, Qinxiang Zheng, Jiewei Jiang, Wei Chen:
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. - Ching-Wei Wang, Hikam Muzakky, Nabila Puspita Firdi, Tzu-Chien Liu, Po-Jen Lai, Yu-Chi Wang, Mu-Hsien Yu, Tai-Kuang Chao:
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer. - Zijun Cui, Runzhuo Ma, Cherine Yang, Anand Malpani, Timothy N. Chu, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, Andrew J. Hung:
Capturing relationships between suturing sub-skills to improve automatic suturing assessment. - Rudi Agius, Anders C. Riis-Jensen, Bettina Wimmer, Caspar da Cunha-Bang, Daniel Dawson Murray, Christian Bjorn Poulsen, Marianne B. Bertelsen, Berit Schwartz, Jens Dilling Lundgren, Henning Langberg, Carsten Utoft Niemann:
Deployment and validation of the CLL treatment infection model adjoined to an EHR system. - Maria Balaet, Falah Alhajraf, Tanja Zerenner, Jessica Welch, Jamil Razzaque, Christine Lo, Valentina Giunchiglia, William Trender, Annalaura Lerede, Peter J. Hellyer, Sanjay G. Manohar, Paresh Malhotra, Michele Hu, Adam Hampshire:
Online cognitive monitoring technology for people with Parkinson's disease and REM sleep behavioural disorder. - Lisa M. Koch, Christian F. Baumgartner, Philipp Berens:
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study. - Aarzoo Dhiman, Elad Yom-Tov, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas A. House, Thomas Finnie, David Guzman, Vasileios Lampos, Rob Aldridge, Sarah Beale, Thomas Byrne, Jana Kovar, Isobel Braithwaite, Ellen Fragaszy, Wing Lam Erica Fong, Cyril Geismar, Susan Hoskins, Annalan Navaratnam, Vincent Nguyen, Parth Patel, Maddie Shrotri, Alexei Yavlinsky, Pia Hardelid, Linda Wijlaars, Eleni Nastouli, Moira Spyer, Anna Aryee, Rachel A. McKendry, Tao Cheng, Anne Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger, Ingemar J. Cox:
Estimating the household secondary attack rate and serial interval of COVID-19 using social media. - Constantin Landers, Alessandro Blasimme, Effy Vayena:
Sync fast and solve things - best practices for responsible digital health. - Suvekshya Aryal, Jennifer M. Blankenship, Shelby L. Bachman, Soohyun Hwang, Yaya Zhai, Jennifer C. Richards, Ieuan Clay, Kate Lyden:
Patient-centricity in digital measure development: co-evolution of best practice and regulatory guidance. - Xiaolan Chen, Weiyi Zhang, Pusheng Xu, Ziwei Zhao, Yingfeng Zheng, Danli Shi, Mingguang He:
FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer. - Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. - Jing Wang, Hui Ouyang, Runda Jiao, Suhui Cheng, Haiyan Zhang, Zhilei Shang, Yanpu Jia, Wenjie Yan, Lili Wu, Weizhi Liu:
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis. - Nora Castner, Lubaina Arsiwala-Scheppach, Sarah Mertens, Joachim Krois, Enkeleda Thaqi, Enkelejda Kasneci, Siegfried Wahl, Falk Schwendicke:
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study. - Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul:
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. - Michel E. van Genderen, Davy van de Sande, Lotty Hooft, Andreas Alois Reis, Alexander D. Cornet, Jacobien H. F. Oosterhoff, Björn J. P. van der Ster, Joost Huiskens, Reggie Townsend, Jasper van Bommel, Diederik Gommers, Jeroen van den Hoven:
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency. - Kayo Waki, Mitsuhiko Nara, Syunpei Enomoto, Makiko Mieno, Eiichiro Kanda, Akiko Sankoda, Yuki Kawai, Kana Miyake, Hiromichi Wakui, Yuya Tsurutani, Nobuhito Hirawa, Tadashi Yamakawa, Shiro Komiya, Akihiro Isogawa, Shinobu Satoh, Taichi Minami, Tamio Iwamoto, Tatsuro Takano, Yasuo Terauchi, Kouichi Tamura, Toshimasa Yamauchi, Masaomi Nangaku, Naoki Kashihara, Kazuhiko Ohe:
Author Correction: Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial. - Fiona Tea, Adam M. R. Groh, Colleen Lacey, Afolasade Fakolade:
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis. - Abrar Majeedi, Ryan M. McAdams, Ravneet Kaur, Shubham Gupta, Harpreet Singh, Yin Li:
Deep learning to quantify care manipulation activities in neonatal intensive care units. - Donnchadh O'Sullivan, Scott Anjewierden, Grace Greason, Itzhak Zachi Attia, Francisco Lopez-Jimenez, Paul A. Friedman, Peter A. Noseworthy, Jason Anderson, Anthony H. Kashou, Samuel J. Asirvatham, Benjamin W. Eidem, Jonathan N. Johnson, Talha Niaz, Malini Madhavan:
Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development. - Varun K. Viswanath, Wendy Hartogensis, Stephan Dilchert, Leena S. Pandya, Frederick M. Hecht, Ashley Mason, Edward J. Wang, Benjamin L. Smarr:
Five million nights: temporal dynamics in human sleep phenotypes. - Constance Dubois, David Eigen, François Simon, Vincent Couloigner, Michael Gormish, Martin Chalumeau, Laurent Schmoll, Jérémie F. Cohen:
Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images. - Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang:
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. - Si Ying Tan, Jennifer Sumner, Yuchen Wang, Alexander Wenjun Yip:
A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes. - Élodie Labrecque Langlais, Denis Corbin, Olivier Tastet, Ahmad Hayek, Gemina Doolub, Sebastián Mrad, Jean-Claude Tardif, Jean-François Tanguay, Guillaume Marquis-Gravel, Geoffrey H. Tison, Samuel Kadoury, William Le, Richard Gallo, Frederic Lesage, Robert Avram:
Evaluation of stenoses using AI video models applied to coronary angiography. - Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony C. Gordon, Aldo A. Faisal:
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. - Clare McGenity, Emily L. Clarke, Charlotte Jennings, Gillian Matthews, Caroline Cartlidge, Henschel Freduah-Agyemang, Deborah D. Stocken, Darren Treanor:
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy. - Gabriela Retamales, Marino E. Gavidia, Ben Bausch, Arthur N. Montanari, Andreas Husch, Jorge Gonçalves:
Towards automatic home-based sleep apnea estimation using deep learning. - Jinjoo Shim, Elgar Fleisch, Filipe Barata:
Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan. - Elizabeth M. Goldberg, Dave Kao, Bethany Kwan, Hemali Patel, Amy Hassell, Richard Zane:
UCHealth's virtual health center: How Colorado's largest health system creates and integrates technology into patient care. - Santi Di Pietro, Ilaria Ferrari, Giuseppe Bulgari, Maria Lorenza Muiesan, Francesco Falaschi, Annalisa De Silvestri, Luigia Scudeller, Valeria Musella, Simone Saglio, Beatrice Re, Elena Mattiuzzo, Fabio Cherubini, Stefano Perlini, Clelia Alvich, Ernesto Anesi, Valentina Angeli, Bruno Barcella, Marco Bonzano, Maria Antonietta Bressan, Domenica Federica Briganti, Francesca Burlon, Valentina Carosio, Iride Ceresa, Giuseppe Crescenzi, Roberta Guarnone, Barbara Guglielmana, Elisa Lainu, Elena Lago, Elena Maggi, Ilaria Malfasi, Ilaria Francesca Martino, Maria Mascolo, Giuseppe Mignosa, Ciro Paolillo, Pietro Pettenazza, Francesco Salinaro, Francesco Speciale, Ilaria Zunino:
Video clips for patient comprehension of atrial fibrillation and deep vein thrombosis in emergency care. A randomised clinical trial. - Vanessa R. Weir, Katelyn Dempsey, Judy Wawira Gichoya, Veronica Rotemberg, An-Kwok Ian Wong:
A survey of skin tone assessment in prospective research. - Felipe Contreras-Briceño, Jorge Cancino, Maximiliano Espinosa-Ramírez, Gonzalo Fernández, Vader Johnson, Daniel E. Hurtado:
Estimation of ventilatory thresholds during exercise using respiratory wearable sensors. - Lea Goetz, Nabeel Seedat, Robert Vandersluis, Mihaela van der Schaar:
Generalization - a key challenge for responsible AI in patient-facing clinical applications. - Faris F. Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia H. Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni:
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. - Gül Erdemli, Margarita Grammatikopoulou, Bertil Wagner, Srinivasan Vairavan, Jelena Curcic, Dag Aarsland, Gayle Wittenberg, Spiros Nikolopoulos, Marijn Muurling, Holger Fröhlich, Casper de Boer, Niraj M. Shanbhag, Vera J. M. Nies, Neva Coello, Dianne Gove, Ana Diaz, Suzanne Foy, Wim Dartee, Anna-Katharine Brem:
Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research. - Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley:
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. - Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open source and commercial large language models for medical evidence summarization. - Liyang Liu, Haibo Wang, Yi Xing, Ziheng Zhang, Qingge Zhang, Ming Dong, Zhujiang Ma, Longjun Cai, Xiaoyi Wang, Yi Tang:
Dose-response relationship between computerized cognitive training and cognitive improvement. - Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan:
Robust automated calcification meshing for personalized cardiovascular biomechanics. - Hanjin Park, Oh-Seok Kwon, Jaemin Shim, Daehoon Kim, Je-Wook Park, Yun-Gi Kim, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jong-Il Choi, Boyoung Joung, Moon-Hyoung Lee, Hui-Nam Pak:
Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation. - Junmo Kim, Joo Seong Kim, Sae-Hoon Kim, Sooyoung Yoo, Jun Kyu Lee, Kwangsoo Kim:
Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records. - Lauryn Keeler Bruce, Dalila González, Subhasis Dasgupta, Benjamin L. Smarr:
Biometrics of complete human pregnancy recorded by wearable devices. - Hossein Akbarialiabad, Amirmohammad Pasdar, Dédée F. Murrell:
Digital twins in dermatology, current status, and the road ahead. - Daniel Reichenpfader, Henning Müller, Kerstin Denecke:
A scoping review of large language model based approaches for information extraction from radiology reports. - Stefanie Brückner, Celia Brightwell, Stephen Gilbert:
FDA launches health care at home initiative to drive equity in digital medical care. - Megan Coder, Lacey McBride, Samantha McClenahan:
Core elements of national policy for digital health technology evidence and access. - Cyril Brzenczek, Quentin Klopfenstein, Tom Hähnel, Holger Fröhlich, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Angelo Ferrari, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Grouès, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Ana Festas Lopes, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Maria Fernanda Niño Uribe, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Lukas Pavelka, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Rebecca Ting Jiin Loo, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov:
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Visar Berisha, Julie M. Liss:
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology. - Jane J. Huang, Roomasa Channa, Risa M. Wolf, Yiwen Dong, Mavis Liang, Jiangxia Wang, Michael D. Abràmoff, T. Y. Alvin Liu:
Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. - Saki Amagai, Edward Vonesh, James Adams, Yuan Luo:
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era. - Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Teodora Lalova-Spinks, Peggy Valcke, John P. A. Ioannidis, Isabelle Huys:
EU-US data transfers: an enduring challenge for health research collaborations. - Antonis Valachis, Henrik Lindman:
Lessons learned from an unsuccessful decentralized clinical trial in Oncology. - Serena C. Y. Wang, Grace C. Nickel, Jethro C. C. Kwong, Joseph C. Kvedar:
Health equity through CMS collaboration with startups and digital health innovations. - Joy Jiang, Ha My Thi Vy, Alexander Charney, Patricia H. Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L. Bhatt, Akhil Vaid, Joshua Lampert, Girish N. Nadkarni:
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Ying Xu, Chi Zhang, Baobao Pan, Qing Yuan, Xu Zhang:
A portable and efficient dementia screening tool using eye tracking machine learning and virtual reality. - Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu:
Disparities in clinical studies of AI enabled applications from a global perspective. - James Truslow, Angela Spillane, Huiming Lin, Katherine Cyr, Adeeti Ullal, Edith Arnold, Ron Huang, Laura Rhodes, Jennifer Block, Jamie Stark, James Kretlow, Alexis L. Beatty, Andreas Werdich, Deepali Bankar, Matt Bianchi, Ian Shapiro, Jaime Villalpando, Sharon Ravindran, Irida Mance, Adam Phillips, John Earl, Rahul C. Deo, Sumbul A. Desai, Calum A. MacRae:
Understanding activity and physiology at scale: The Apple Heart & Movement Study. - Zitian Liu, Xiaotong Han, Le Gao, Shida Chen, Wenyong Huang, Peng Li, Zhiyan Wu, Mengchi Wang, Yingfeng Zheng:
Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening. - Yue-meng Sun, Zhi-yun Wang, Yuan-yuan Liang, Chen-wei Hao, Chang-he Shi:
Digital biomarkers for precision diagnosis and monitoring in Parkinson's disease. - Jelena Schmidt, Nienke M. Schutte, Stefan Buttigieg, David Novillo-Ortiz, Eric Sutherland, Michael Anderson, Bart de Witte, Michael Peolsson, Brigid Unim, Milena Pavlova, Ariel Dora Stern, Elias Mossialos, Robin van Kessel:
Mapping the regulatory landscape for artificial intelligence in health within the European Union. - Cyrus Tanade, Nusrat Sadia Khan, Emily Rakestraw, William Ladd, Erik W. Draeger, Amanda Randles:
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins. - Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C. Adams, Keno K. Bressem:
Navigating the European Union Artificial Intelligence Act for Healthcare. - Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein:
Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. - Sergey Protserov, Jaryd Hunter, Haochi Zhang, Pouria Mashouri, Caterina Masino, Michael Brudno, Amin Madani:
Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support. - João Guerreiro, Roger Garriga, Toni Lozano Bagén, Brihat Sharma, Niranjan S. Karnik, Aleksandar Matic:
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. - Lena Christine Zuchowski, Matthias L. Zuchowski, Eckhard Nagel:
A trust based framework for the envelopment of medical AI. - Agata Blasiak, Lester Wen Jeit Tan, Li Ming Chong, Xavier Tadeo, Anh Thanh Lan Truong, Kirthika Senthil Kumar, Yoann Sapanel, Michelle Poon, Raghav Sundar, Sanjay de Mel, Dean Ho:
Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial. - Mateo Aboy, Timo Minssen, Effy Vayena:
Navigating the EU AI Act: implications for regulated digital medical products. - Adéla Plechatá, Guido Makransky, Robert Böhm:
A randomized controlled trial investigating experiential virtual reality communication on prudent antibiotic use. - Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji:
A scoping review of reporting gaps in FDA-approved AI medical devices. - Isabella C. Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather:
Privacy-preserving large language models for structured medical information retrieval. - Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero shot health trajectory prediction using transformer. - Yosra Magdi Mekki, Osman Hassan Ahmed, Dylan Powell, Amy Price, H. Paul Dijkstra:
Games Wide Open to athlete partnership in building artificial intelligence systems. - Tamsin J. Robb, Yinan Liu, Braden Woodhouse, Charlotta Windahl, Daniel G. Hurley, Grant McArthur, Stephen B. Fox, Lisa Brown, Parry Guilford, Alice Minhinnick, Christopher Jackson, Cherie Blenkiron, Kate Parker, Kimiora Henare, Rose McColl, Bianca Haux, Nick Young, Veronica Boyle, Laird Cameron, Sanjeev Deva, Jane Reeve, Cristin G. Print, Michael Davis, Uwe Rieger, Ben Lawrence:
Blending space and time to talk about cancer in extended reality. - Katharina Wenderott, Jim Krups, Fiona Zaruchas, Matthias Weigl:
Effects of artificial intelligence implementation on efficiency in medical imaging - a systematic literature review and meta-analysis. - William R. Hersh, Kate Fultz Hollis:
Results and implications for generative AI in a large introductory biomedical and health informatics course. - Jia Wei Koh, Dragan Gasevic, David Rankin, Stephane Heritier, Mark Frydenberg, Stella Talic:
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology. - Andrew Quanbeck, Ming-Yuan Chih, Linda Park, Xiang Li, Qiang Xie, Alice Pulvermacher, Samantha Voelker, Rachel Lundwall, Katherine Eby, Bruce Barrett, Randall Brown:
A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder. - Yuehua Liu, Wenjin Yu, Tharam S. Dillon:
Regulatory responses and approval status of artificial intelligence medical devices with a focus on China. - Mila Nambiar, Yong Mong Bee, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy:
A drug mix and dose decision algorithm for individualized type 2 diabetes management. - Bonnie T. Chao, Andrew T. Sage, Micheal C. McInnis, Jun Ma, Micah Grubert Van Iderstine, Xuanzi Zhou, Jerome Valero, Marcelo Cypel, Mingyao Liu, Bo Wang, Shaf Keshavjee:
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. - Grace C. Nickel, Serena Wang, Jethro C. C. Kwong, Joseph C. Kvedar:
The case for inclusive co-creation in digital health innovation. - Veronica Cabreira, Tim Wilkinson, Lisbeth Frostholm, Jon Stone, Alan Carson:
Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia. - Rosanna Tarricone, Francesco Petracca, Hannah-Marie Weller:
Author Correction: Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning. - Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl:
Long-term changes in wearable sensor data in people with and without Long Covid. - Yan-Bing Huang, Li Lin, Xin-Yu Li, Bo-Zhu Chen, Lu Yuan, Hui Zheng:
An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache. - Karin Slater, Paul N. Schofield, James Wright, Paul Clift, Anushka Irani, William Bradlow, Furqan Aziz, Georgios V. Gkoutos:
Talking about diseases; developing a model of patient and public-prioritised disease phenotypes. - Xiaodi Liu, Yingnan Liu, Mong-Li Lee, Wynne Hsu, Ming Han Lincoln Liow:
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models. - Maarten Z. Kolk, Diana My Frodi, Joss Langford, Tariq O. Andersen, Peter Karl Jacobsen, Niels Risum, Hanno L. Tan, Jesper Hastrup Svendsen, Reinoud Knops, Søren Zöga Diederichsen, Fleur V. Y. Tjong:
Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias. - Alexander Diel, Isabel Carolin Schröter, Anna-Lena Frewer, Christoph Jansen, Anita Robitzsch, Gertraud Gradl-Dietsch, Martin Teufel, Alexander Bäuerle:
A systematic review and meta analysis on digital mental health interventions in inpatient settings. - Xinyu Zhao, Xingwang Gu, Lihui Meng, Yongwei Chen, Qing Zhao, Shiyu Cheng, Wenfei Zhang, Tiantian Cheng, Chuting Wang, Zhengming Shi, Shengyin Jiao, Changlong Jiang, Guofang Jiao, Da Teng, Xiaolei Sun, Bilei Zhang, Yakun Li, Huiqin Lu, Changzheng Chen, Hao Zhang, Ling Yuan, Chang Su, Han Zhang, Song Xia, Anyi Liang, Mengda Li, Dan Zhu, Meirong Xue, Dawei Sun, Qiuming Li, Ziwu Zhang, Donglei Zhang, Hongbin Lv, Rishet Ahmat, Zilong Wang, Charumathi Sabanayagam, Xiaowei Ding, Tien Yin Wong, Youxin Chen:
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images. - Dong Hyun Choi, Min Hyuk Lim, Ki Jeong Hong, Young Gyun Kim, Jeong Ho Park, Kyoung Jun Song, Sang Do Shin, Sungwan Kim:
Individualized decision making in on-scene resuscitation time for out-of-hospital cardiac arrest using reinforcement learning. - Hendrik Ballhausen, Stefanie Corradini, Claus Belka, Dan Bogdanov, Luca Boldrini, Francesco Bono, Christian Goelz, Guillaume Landry, Giulia Panza, Katia Parodi, Riivo Talviste, Huong Elena Tran, Maria Antonietta Gambacorta, Sebastian Marschner:
Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. - Rosanna Tarricone, Francesco Petracca, Hannah-Marie Weller:
Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning. - Jojanneke M. T. M. Drogt, Megan M. Milota, Anne van den Brink, Karin R. Jongsma:
Ethical guidance for reporting and evaluating claims of AI outperforming human doctors. - Albert Navarro-Gallinad, Fabrizio Orlandi, Jennifer Scott, Enock Havyarimana, Neil Basu, Mark A. Little, Declan O'Sullivan:
Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework. - Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang:
A framework for human evaluation of large language models in healthcare derived from literature review. - Soo Bin Yoon, Jipyeong Lee, Hyung-Chul Lee, Chul-Woo Jung, Hyeonhoon Lee:
Comparison of NLP machine learning models with human physicians for ASA Physical Status classification. - Dylan Powell, Fanny Burrows, Geraint Lewis, Stephen Gilbert:
How might Hospital at Home enable a greener and healthier future? - Alan Balendran, Mehdi Benchoufi, Theodoros Evgeniou, Philippe Ravaud:
Algorithmovigilance, lessons from pharmacovigilance. - Enrico Ferrea, Farzin Negahbani, Idil Cebi, Daniel Weiss, Alireza Gharabaghi:
Machine learning explains response variability of deep brain stimulation on Parkinson's disease quality of life. - Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Gopal Patra, Sarah Bost, Destinee Morrow, Grace Hsin-Min Wang, Yuyang Yang, Noah James Forrest, Yuan Luo, Theresa L. Walunas, Wei-Hsuan Lo-Ciganic, Walid Gelad, Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, Jyotishman Pathak:
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. - Anya Skatova:
Overcoming biases of individual level shopping history data in health research. - Jack Gallifant, Danielle S. Bitterman, Leo Anthony Celi, Judy W. Gichoya, João Matos, Liam G. McCoy, Robin L. Pierce:
Ethical debates amidst flawed healthcare artificial intelligence metrics. - Manuela Fritz, Michael Grimm, Ingmar Weber, Elad Yom-Tov, Benedictus Praditya:
Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users. - Niels T. B. Scholte, Annemiek. E. van Ravensberg, Abdul Shakoor, Eric Boersma, Eelko Ronner, Rudolf A. de Boer, Jasper J. Brugts, Nico Bruining, Robert M. A. van der Boon:
A scoping review on advancements in noninvasive wearable technology for heart failure management. - Damien K. Ming, John Daniels, Ho Q. Chanh, Stefan Karolcík, Bernard Hernandez, Vasileios Manginas, Van Hao Nguyen, Quang Huy Nguyen, Tu Qui Phan, Thi Hue Tai Luong, Huynh Trung Trieu, Alison Helen Holmes, Vinh Tho Phan, Pantelis Georgiou, Sophie Yacoub:
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. - Daewoon Seong, Euimin Lee, Yoonseok Kim, Che Gyem Yae, Jeongmun Choi, Hong Kyun Kim, Mansik Jeon, Jeehyun Kim:
Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography. - Elizabeth J. Enichen, Kimia Heydari, Serena Wang, Grace C. Nickel, Joseph C. Kvedar:
The utility of personal wearable data in long COVID and personalized patient care. - Aditya Narayan, Indu Bhushan, Kevin A. Schulman:
India's evolving digital health strategy. - Yosra Magdi Mekki, Osman Hassan Ahmed, Dylan Powell, Amy Price, H. Paul Dijkstra:
Author Correction: Games Wide Open to athlete partnership in building artificial intelligence systems. - Gillian Matthews, Clare McGenity, Daljeet Bansal, Darren Treanor:
Public evidence on AI products for digital pathology. - Taehyun Hwang, Byounghyun Lim, Oh-Seok Kwon, Moon-Hyun Kim, Daehoon Kim, Je-Wook Park, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Boyoung Joung, Moon-Hyoung Lee, Chun Hwang, Hui-Nam Pak:
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation. - Courtney J. Lightfoot, Thomas J. Wilkinson, Gurneet K. Sohansoha, Clare L. Gillies, Noémi Vadász, Ella C. Ford, Melanie J. Davies, Thomas Yates, Alice C. Smith, Matthew P. M. Graham-Brown, Kieran McCafferty, Thomas Phillips, Barbara Winter-Goodwin, Siva Sridharan, Timothy Doulton, Carlito Adan, Kate Bramham, Aimun Ahmed, Andrew Nixon, Chris Goldsmith, Matthew Howse, Sandip Mitra, Sumith Abeygunasekara, Gowrie Balasubramaniam, Georgia Winnett, Sohail Ahmed, Rosie Donne, Sarah Brand, Robert Lewis, Nicholas Sangala, Steve Dickinson, Maarten Taal, Coralie Bingham, Simon Curran, Joyce Popoola, Andrew Stein, Kristin Veighey, Annika Wallis, Paul Laboi, Vicky Robins:
The effects of a digital health intervention on patient activation in chronic kidney disease. - Sanjay Basu, Dean Schillinger, Sadiq Y. Patel, Joseph Rigdon:
Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gaps. - Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, Caroline Kim, Ricky Hu, Bruce B. Forster, Ilker Hacihaliloglu:
Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett:
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland. - Ting Li, Xi Chen, Weida Tong:
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach. - Zhanping Zhou, Yuchen Guo, Ruijie Tang, Hengrui Liang, Jianxing He, Feng Xu:
Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis. - James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett:
Development and assessment of a machine learning tool for predicting emergency admission in Scotland. - Shawn T. O'Neil, Charisse R. Madlock-Brown, Kenneth Wilkins, Brenda M. McGrath, Hannah E. Davis, Gina S. Assaf, Hannah Wei, Parya Zareie, Evan T. French, Johanna Loomba, Julie A. McMurry, Andrea Zhou, Christopher G. Chute, Richard A. Moffitt, Emily R. Pfaff, Yun Jae Yoo, Peter Leese, Robert F. Chew, Michael Lieberman, Melissa A. Haendel:
Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. - Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim M. Branson, David A. Clifton:
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. - Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, S. Kevin Zhou:
Addressing fairness issues in deep learning-based medical image analysis: a systematic review. - Olivia K. Botonis, Jonathan Mendley, Shreya Aalla, Nicole C. Veit, Michael Fanton, Jongyoon Lee, Vikrant Tripathi, Venkatesh Pandi, Akash Khobragade, Sunil Chaudhary, Amitav Chaudhuri, Vaidyanathan Narayanan, Shuai Xu, Hyoyoung Jeong, John A. Rogers, Arun Jayaraman:
Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India). - Justin Chan, Solomon Nsumba, Mitchell Wortsman, Achal Dave, Ludwig Schmidt, Shyamnath Gollakota, Kelly E. Michaelsen:
Detecting clinical medication errors with AI enabled wearable cameras. - I-Min Chiu, Tien-Yu Chen, You-Cheng Zheng, Xin-Hong Lin, Fu-Jen Cheng, David Ouyang, Chi-Yung Cheng:
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms. - Donghyeon Kim, Divyesh Narayanan, Shih-Hsien Sung, Hao-Min Cheng, Chen-Huan Chen, Chang-Sei Kim, Ramakrishna Mukkamala, Jin-Oh Hahn:
Transmission line model as a digital twin for abdominal aortic aneurysm patients. - Morteza Naghavi, Anthony P. Reeves, Kyle Atlas, Chenyu Zhang, Thomas Atlas, Claudia I. Henschke, David F. Yankelevitz, Matthew J. Budoff, Dong Li, Sion K. Roy, Khurram Nasir, Sabee Molloi, Zahi Fayad, Michael V. McConnell, Ioannis A. Kakadiaris, David J. Maron, Jagat Narula, Kim Williams, Prediman K. Shah, Daniel Levy, Nathan D. Wong:
Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. - Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre:
The quality and safety of using generative AI to produce patient-centred discharge instructions. - Keren Ladin, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout W. Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, David M. Kent:
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor. - Michael Winter, Berthold Langguth, Winfried Schlee, Rüdiger Pryss:
Process mining in mHealth data analysis. - Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg:
A strategy for cost-effective large language model use at health system-scale. - Mengyan Li, Xiaoou Li, Kevin Pan, Alon Geva, Doris Yang, Sara Morini Sweet, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Xin Xiong, Kenneth D. Mandl, Tianxi Cai:
Multisource representation learning for pediatric knowledge extraction from electronic health records. - Shashi Kant Gupta, Aditya Basu, Mauro Nievas, Jerrin Thomas, Nathan Wolfrath, Adhitya Ramamurthi, Bradley Taylor, Anai N. Kothari, Regina Schwind, Therica M. Miller, Sorena Nadaf-Rahrov, Yanshan Wang, Hrituraj Singh:
PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models. - Gloria Y. K. Kim, Rea Rostosky, Franziska K. Bishop, Kelly Watson, Priya Prahalad, Aishwari Vaidya, Sharon Lee, Alexander Diana, Clint Beacock, Brian Chu, Ginny Yadav, Kaylin Rochford, Carissa Carter, Johannes O. Ferstad, Erica Pang, Jamie Kurtzig, Brandon Arbiter, Howard Look, Ramesh Johari, David M. Maahs, David Scheinker:
The adaptation of a single institution diabetes care platform into a nationally available turnkey solution. - James T. Anibal, Hannah B. Huth, Jasmine Gunkel, Susen K. Gregurick, Bradford J. Wood:
Simulated misuse of large language models and clinical credit systems. - Edmond Pui Hang Choi, Chanchan Wu, Kitty Wai Ying Choi, Pui Hing Chau, Eric Yuk Fai Wan, William Chi Wai Wong, Janet Y. H. Wong, Daniel Yee Tak Fong, Eric Pui Fung Chow:
Ehealth interactive intervention in promoting safer sex among men who have sex with men. - Yoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, Masami Tsuchiya, Emiko Y. Shinohara, Shuntaro Yada, Shoko Wakamiya, Shungo Imai, Satoko Hori, Eiji Aramaki:
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records. - Bettina Freitag, Marie Uncovska, Sven Meister, Christian Prinz, Leonard Fehring:
Cost-effectiveness analysis of mHealth applications for depression in Germany using a Markov cohort simulation. - Chexuan Qiao, Emanuella De Lucia Rolfe, Ethan Mak, Akash Sengupta, Richard Powell, Laura P. E. Watson, Steven B. Heymsfield, John A. Shepherd, Nicholas J. Wareham, Søren Brage, Roberto Cipolla:
Prediction of total and regional body composition from 3D body shape. - Ye Tao, Yazhi Luo, Hanwen Hu, Wei Wang, Ying Zhao, Shuhao Wang, Qingyuan Zheng, Tianwei Zhang, Guoqiang Zhang, Jie Li, Ming Ni:
Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology. - Hong Yeul Lee, Soomin Chung, Dongwoo Hyeon, Hyun-Lim Yang, Hyung-Chul Lee, Ho Geol Ryu, Hyeonhoon Lee:
Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients. - Dongju Lim, Jaegwon Jeong, Yun Min Song, Chul-Hyun Cho, Ji Won Yeom, Taek Lee, Jung-Been Lee, Heon-Jeong Lee, Jae Kyoung Kim:
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features. - Valentina Giunchiglia, Dragos-Cristian Gruia, Annalaura Lerede, William Trender, Peter Hellyer, Adam Hampshire:
An iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive data. - Shuaijie Zhang, Qing Wang, Xifeng Hu, Botao Zhang, Shuangshuang Sun, Ying Yuan, Xiaofeng Jia, Yuanyuan Yu, Fuzhong Xue:
Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data. - Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis:
The R.O.A.D. to precision medicine. - Whitney P. Underwood, Meghan G. Michalski, Catherine P. Lee, Gina A. Fickera, Su S. Chun, Stefan E. Eng, Lydia Y. Liu, Brandon L. Tsai, Chaya S. Moskowitz, Jessica A. Lavery, Kimberly J. Van Zee, Ginger J. Gardner, Jennifer J. Mueller, Chau T. Dang, Behfar Ehdaie, Vincent P. Laudone, James A. Eastham, Jessica M. Scott, Paul C. Boutros, Lee W. Jones:
A digital, decentralized trial of exercise therapy in patients with cancer. - Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn:
Medical large language models are susceptible to targeted misinformation attacks. - Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa:
Evaluation and mitigation of cognitive biases in medical language models. - Agathe Zecevic, Laurence Jackson, Xinyue Zhang, Polychronis Pavlidis, Jason Dunn, Nigel Trudgill, Shahd Ahmed, Pierfrancesco Visaggi, Zanil Yoonusnizar, Angus Roberts, Sebastian S. Zeki:
Automated decision making in Barrett's oesophagus: development and deployment of a natural language processing tool. - Melissa A. Boswell, Kris M. Evans, Disha Ghandwani, Trevor Hastie, Sean R. Zion, Paula Moya, Nicholas J. Giori, Jennifer L. Hicks, Alia Crum, Scott L. Delp:
A randomized clinical trial testing digital mindset intervention for knee osteoarthritis pain and activity improvement. - Jinkui Hao, William Robert Kwapong, Ting Shen, Huazhu Fu, Yanwu Xu, Qinkang Lu, Shouyue Liu, Jiong Zhang, Yonghuai Liu, Yifan Zhao, Yalin Zheng, Alejandro F. Frangi, Shuting Zhang, Hong Qi, Yitian Zhao:
Early detection of dementia through retinal imaging and trustworthy AI. - Hairong Wang, Michael G. Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela R. Jackson, Andrea Hawkins-Daarud, Nhan L. Tran, Leland S. Hu, Kyle W. Singleton, Lisa E. Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter D. Canoll, Jing Li:
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. - Yao Li, Sergey Drobinsky, Paulina Becker, Kunpeng Xie, Myriam Lipprandt, Christian Andreas Mueller, Jan Egger, Frank Hölzle, Rainer Röhrig, Klaus Radermacher, Matías de la Fuente, Behrus Puladi:
Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial. - Danyal Z. Khan, Alexandra Valetopoulou, Adrito Das, John G. Hanrahan, Simon C. Williams, Sophia Bano, Anouk Borg, Neil L. Dorward, Santiago Barbarisi, Lucy Culshaw, Karen Kerr, Imanol Luengo, Danail Stoyanov, Hani J. Marcus:
Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery. - Christian Rose, Jonathan H. Chen:
Learning from the EHR to implement AI in healthcare. - Anna Reuter, Mohammed K. Ali, Viswanathan Mohan, Lydia Chwastiak, Kavita Singh, K. M. Venkat Narayan, Dorairaj Prabhakaran, Nikhil Tandon, Nikkil Sudharsanan:
Predicting control of cardiovascular disease risk factors in South Asia using machine learning. - Daniel Possti, Shani Oz, Aaron Gerston, Danielle Wasserman, Iain Duncan, Matteo Cesari, Andrew Dagay, Riva Tauman, Anat Mirelman, Yael Hanein:
Semi automatic quantification of REM sleep without atonia in natural sleep environment. - Lars Riedemann, Maxime Labonne, Stephen Gilbert:
The path forward for large language models in medicine is open. - Nehal Hassan, Robert Slight, Kweku Bimpong, David W. Bates, Daniel Weiand, Akke Vellinga, Graham Morgan, Sarah P. Slight:
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making. - Goh Eun Chung, Jooyoung Lee, Seon Hee Lim, Hae Yeon Kang, Jung Kim, Ji Hyun Song, Sun Young Yang, Ji Min Choi, Ji Yeon Seo, Jung Ho Bae:
A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy. - Rafal Kocielnik, Cherine H. Yang, Runzhuo Ma, Steven Y. Cen, Elyssa Y. Wong, Timothy N. Chu, J. Everett Knudsen, Peter Wager, John Heard, Umar Ghaffar, Anima Anandkumar, Andrew J. Hung:
Human AI collaboration for unsupervised categorization of live surgical feedback. - Paula Dominguez-Gomez, Alberto Zingaro, Laura Baldo-Canut, Caterina Balzotti, Borje Darpo, Christopher Morton, Mariano Vázquez, Jazmin Aguado-Sierra:
Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators. - Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria:
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. - Fangyi Chen, Priyanka Ahimaz, Quan M. Nguyen, Rachel Lewis, Wendy K. Chung, Casey N. Ta, Katherine M. Szigety, Sarah E. Sheppard, Ian M. Campbell, Kai Wang, Chunhua Weng, Cong Liu:
Phenotype driven molecular genetic test recommendation for diagnosing pediatric rare disorders. - Jessica L. Handley, Seth A. Krevat, Allan Fong, Raj M. Ratwani:
Artificial intelligence related safety issues associated with FDA medical device reports. - Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang:
Probabilistic medical predictions of large language models. - Jingnan Sun, Anruo Shen, Yike Sun, Xiaogang Chen, Yunxia Li, Xiaorong Gao, Bai Lu:
Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG. - Summer R. Jasinski, David M. Presby, Gregory J. Grosicki, Emily R. Capodilupo, Victoria H. Lee:
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle. - Nina Perry, Carter Sun, Martha Munro, Kelsie A. Boulton, Adam J. Guastella:
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review. - Daniel S. Herman, Jenna T. Reece, Gary E. Weissman:
Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing. - Pushkala Jayaraman, Jacob Desman, Moein Sabounchi, Girish N. Nadkarni, Ankit Sakhuja:
A Primer on Reinforcement Learning in Medicine for Clinicians. - Dawoon Jung, Dallah Yoo, Jinwook Kim, Tae-Beom Ahn, Kyung-Ryoul Mun:
Identifying Parkinson's disease and its stages using static standing balance. - Yijun Ren, Enrico Gianluca Caiani:
Leveraging natural language processing to aggregate field safety notices of medical devices across the EU. - Philipp Wendland, Christof Schenkel-Häger, Ingobert Wenningmann, Maik Kschischo:
An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence. - Yu-Chia Lan, Martin Strauch, Pourya Pilva, Nikolas E. J. Schmitz, Alireza Vafaei Sadr, Leon Niggemeier, Huong Quynh Nguyen, David L. Hölscher, Tri Q. Nguyen, Jesper Kers, Roman David Bülow, Peter Boor:
Ecologically sustainable benchmarking of AI models for histopathology. - Marta Williams, Wasie Karim, Justin Gelman, Marium Raza:
Ethical data acquisition for LLMs and AI algorithms in healthcare. - Mingyang Chen, Yuting Wang, Qiankun Wang, Jingyi Shi, Huike Wang, Zichen Ye, Peng Xue, Youlin Qiao:
Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation. - Agustina D. Saenz, Thomas McCoy, Allison Bryant Mantha, Robert Martin, Robert Damiano, Deborah Adair, David Heaney, Rachel Sisodia, Lee Park, Robert Forsberg, Gerry Tuffy, Shawn Murphy, Keith Dreyer, Martha Jones, Heather Jean Cosier, Merranda Logan, Yogendra Bundela, Amanda Centi, David Ting, Jacqueline G. You, Adam Landman, Rebecca Grochow Mishuris:
Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions. - Siddhant Dogra, Ezequiel, Pranav Rajpurkar:
Reimbursement in the age of generalist radiology artificial intelligence. - Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim M. Branson, David A. Clifton:
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. - Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus R. Makowski, Alexander Löser, Keno K. Bressem:
Autonomous medical evaluation for guideline adherence of large language models. - Pengxin Yu, Haoyue Zhang, Dawei Wang, Rongguo Zhang, Mei Deng, Haoyu Yang, Lijun Wu, Xiaoxu Liu, Andrea Oh, Fereidoun Abtin, Ashley Prosper, Kathleen Ruchalski, Nana Wang, Huairong Zhang, Ye Li, Xinna Lv, Min Liu, Shaohong Zhao, Dasheng Li, John M. Hoffman, Denise R. Aberle, Chaoyang Liang, Shouliang Qi, Corey W. Arnold:
Spatial resolution enhancement using deep learning improves chest disease diagnosis based on thick slice CT. - Ryan Tennant, Jennifer Graham, Juliet Kern, Kate Mercer, John Mark Ansermino, Catherine M. Burns:
A scoping review on pediatric sepsis prediction technologies in healthcare. - Elizabeth J. Enichen, Kimia Heydari, Joseph C. Kvedar:
Assessing alternative strategies for measuring metabolic risk. - Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, Silvan Hornstein, Corinna Jacobi, Burkhardt Funk:
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions. - Naouel Zerrouk, Franck Augé, Anna Niarakis:
Building a modular and multi-cellular virtual twin of the synovial joint in Rheumatoid Arthritis. - Samir Akre, Darsol Seok, Christopher Douglas, Adrián Aguilera, Simona Carini, Jessilyn Dunn, Matthew Hotopf, David C. Mohr, Alex A. T. Bui, Nelson B. Freimer:
Advancing digital sensing in mental health research. - Wui Ip, Maria Xenochristou, Elaine Sui, Elyse Ruan, Ryan Ribeira, Debadutta Dash, Malathi Srinivasan, Maja Artandi, Jesutofunmi A. Omiye, Nicholas Scoulios, Hayden L. Hofmann, Ali Mottaghi, Zhenzhen Weng, Abhinav Kumar, Ananya Ganesh, Jason A. Fries, Serena Yeung-Levy, Lawrence V. Hofmann:
Hospitalization prediction from the emergency department using computer vision AI with short patient video clips. - Yue Gao, Yuepeng Chen, Minghao Wang, Jinge Wu, Yunsoo Kim, Kaiyin Zhou, Miao Li, Xien Liu, Xiangling Fu, Ji Wu, Honghan Wu:
Optimising the paradigms of human AI collaborative clinical coding. - Bilal A. Naved, Yuan Luo:
Contrasting rule and machine learning based digital self triage systems in the USA. - Brian C. Davis, Kai-Chun Lin, Sarah Shahub, Annapoorna Ramasubramanya, Andrew Fagan, Sriram Muthukumar, Shalini Prasad, Jasmohan S. Bajaj:
A novel sweat sensor detects inflammatory differential rhythmicity patterns in inpatients and outpatients with cirrhosis. - Minki P. Lee, Dae Wook Kim, Yu Fang, Ruby Kim, Amy S. B. Bohnert, Srijan Sen, Daniel B. Forger:
The real-world association between digital markers of circadian disruption and mental health risks. - Frances J. Griffith, Garrett I. Ash, Madilyn Augustine, Leah Latimer, Naomi Verne, Nancy S. Redeker, Stephanie S. O'malley, Kelly S. Demartini, Lisa M. Fucito:
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults. - Xiaohang Liu, Wei Chen, Yu Qiu, Xiang Li, Fei Liu, Zhili Jiang, Fuwei Jia, Chenggang Wang, Rongrong Ji, Tawquir R. Nawaz, Dingding Zhang, Yong Zeng, Hai Gao, Jeffrey Hsu:
Improving access to cardiovascular care for 1.4 billion people in China using telehealth. - Ong Chin Siang, Nicholas T. Obey, Yanan Zheng, Arman Cohan, Eric B. Schneider:
SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement. - Jake Linardon, Matthew Fuller-Tyszkiewicz, Joseph Firth, Simon B. Goldberg, Cleo Anderson, Zoe McClure, John B. Torous:
Systematic review and meta-analysis of adverse events in clinical trials of mental health apps. - Bertalan Meskó:
The emergence of medical futures studies uncovers medicine and healthcare's untapped potential. - Carol El-Hayek, Thi Nguyen, Margaret E. Hellard, Michael Curtis, Rachel Sacks-Davis, Lin Aung Htein, Jason Asselin, Douglas Iain Ross Boyle, Anna Wilkinson, Victoria Polkinghorne, Jane S. Hocking, Adam G. Dunn:
Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach. - Stelian Camara Dit Pinto, Jalal Cherkaoui, Debarshi Ghosh, Valentine Cazaubon, Kenza E. Benzeroual, Steven M. Levine, Mohammed Cherkaoui, Gagan K. Sood, Sharmila Anandasabapathy, Sadhna Dhingra, John M. Vierling, Nicolas R. Gallo:
A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction. - Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley:
Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT. - Frank P.-W. Lo, Jianing Qiu, Modou L. Jobarteh, Yingnan Sun, Zeyu Wang, Shuo Jiang, Tom Baranowski, Alex K. Anderson, Megan A. McCrory, Edward Sazonov, Wenyan Jia, Mingui Sun, Matilda Steiner-Asiedu, Gary S. Frost, Benny Lo:
AI-enabled wearable cameras for assisting dietary assessment in African populations. - Charalampos Sotirakis, Maksymilian A. Brzezicki, Salil B. Patel, Niall Conway, James J. Fitzgerald, Chrystalina A. Antoniades:
Predicting future fallers in Parkinson's disease using kinematic data over a period of 5 years. - Karim Kadry, Shreya Gupta, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins. - Ben Li, Stephen Gilbert:
Artificial Intelligence awarded two Nobel Prizes for innovations that will shape the future of medicine. - Farzad Shahabi, Samuel L. Battalio, Angela Fidler Pfammatter, Donald Hedeker, Bonnie Spring, Nabil Alshurafa:
A machine-learned model for predicting weight loss success using weight change features early in treatment. - Alicia Kilfoy, Ting-Chen Chloe Hsu, Charlotte Stockton-Powdrell, Pauline Whelan, Charlene H. Chu, Lindsay Jibb:
An umbrella review on how digital health intervention co-design is conducted and described. - Michael D. Abràmoff, Philip T. Lavin, Julie R. Jakubowski, Barbara A. Blodi, Mia Keeys, Cara Joyce, James C. Folk:
Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease.
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