Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2018 1
2019 2
2020 2
2021 1
2022 1
2024 4

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

11 results

Results by year

Filters applied: . Clear all
Page 1
Did you mean marine parlanti (3 results)?
The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease.
Castellani D, De Stefano V, Brocca C, Mazzon G, Celia A, Bosio A, Gozzo C, Alessandria E, Cormio L, Ratnayake R, Vismara Fugini A, Morena T, Tanidir Y, Sener TE, Choong S, Ferretti S, Pescuma A, Micali S, Pavan N, Simonato A, Miano R, Orecchia L, Pirola GM, Naselli A, Emiliani E, Hernandez-Peñalver P, Di Dio M, Bisegna C, Campobasso D, Serafin E, Antonelli A, Rubilotta E, Ragoori D, Balloni E, Paolanti M, Gauhar V, Galosi AB. Castellani D, et al. Among authors: paolanti m. World J Urol. 2024 Nov 1;42(1):612. doi: 10.1007/s00345-024-05314-5. World J Urol. 2024. PMID: 39485570
Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease.
Castellani D, De Stefano V, Brocca C, Mazzon G, Celia A, Bosio A, Gozzo C, Alessandria E, Cormio L, Ratnayake R, Fugini AV, Morena T, Tanidir Y, Sener TE, Choong S, Ferretti S, Pescuma A, Micali S, Pavan N, Simonato A, Miano R, Orecchia L, Pirola GM, Naselli A, Emiliani E, Hernandez-Penalver P, Di Dio M, Bisegna C, Campobasso D, Serafin E, Antonelli A, Rubilotta E, Ragoori D, Balloni E, Paolanti M, Gauhar V, Galosi AB. Castellani D, et al. Among authors: paolanti m. World J Urol. 2024 Nov 28;42(1):652. doi: 10.1007/s00345-024-05390-7. World J Urol. 2024. PMID: 39607577 No abstract available.
Sharing health data among general practitioners: The Nu.Sa. project.
Frontoni E, Mancini A, Baldi M, Paolanti M, Moccia S, Zingaretti P, Landro V, Misericordia P. Frontoni E, et al. Among authors: paolanti m. Int J Med Inform. 2019 Sep;129:267-274. doi: 10.1016/j.ijmedinf.2019.05.016. Epub 2019 Jun 5. Int J Med Inform. 2019. PMID: 31445266
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing.
Frontoni E, Romeo L, Bernardini M, Moccia S, Migliorelli L, Paolanti M, Ferri A, Misericordia P, Mancini A, Zingaretti P. Frontoni E, et al. Among authors: paolanti m. IEEE J Transl Eng Health Med. 2020 Oct 14;8:3000112. doi: 10.1109/JTEHM.2020.3031107. eCollection 2020. IEEE J Transl Eng Health Med. 2020. PMID: 33150095 Free PMC article.
IoT and Engagement in the Ubiquitous Museum.
Pierdicca R, Marques-Pita M, Paolanti M, Malinverni ES. Pierdicca R, et al. Among authors: paolanti m. Sensors (Basel). 2019 Mar 21;19(6):1387. doi: 10.3390/s19061387. Sensors (Basel). 2019. PMID: 30901817 Free PMC article.
11 results