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Providing precise data labeling for AI-powered minimally invasive, robotic, laparoscopic, and endoscopic surgeries, while enabling accurate surgical instrument tracking to enhance procedural efficiency.
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Cogito Tech’s Domain Expertise in Data Annotation for Surgical AI
Led by medical specialists from a global network of hospitals, Cogito Tech’s Medical AI Innovation Hub provides image and video labeling for AI-powered minimally invasive, robotic, and endoscopic surgery.
Board-certified Medical Specialists
Our team of surgical specialists, including general surgeons and gastroenterologists, oversees and guides surgical data annotation to ensure accurate labeling and interpretation of complex medical data.
Efficient Workflow Integration
Our Seamless Workflow integrates expert-driven processes and advanced tools to deliver high-quality training data for arthroscopy, cystoscopy, bronchoscopy, nasal and sinus endoscopy, and laparoscopy, capturing edge cases and long-tail pathophysiology with precision.
Regulatory-ready Data Preparation
Using DataSum, we enhance training data transparency, ensure CFR 21 Part 11 compliance, simplify FDA 510(k) clearances, and facilitate regulatory approval through validation and benchmarking—advancing robotic surgery toward autonomy.
Advanced Tools for Medical Data
Cogito Tech utilizes advanced tools to generate high-volume AI training data for laparoscopy and arthroscopy, as well as bronchoscopy, nasal and sinus endoscopy. Expert annotators accurately label valuable edge cases and long-tail pathophysiology.
Services
Annotation and Surgical Instrument Tracking
We annotate surgical instruments by categorizing them based on their type and then segment across multiple frames. This enables AI systems in robotic surgery to accurately track instrument movements, boosting surgical technique assessment and training in procedures like laparoscopic surgery.
Surgery Phase Identification
The team accurately time-stamps each step of a surgical procedure, enabling AI systems to break down workflows, such as incision, bone preparation, implantation, and wound closure during knee replacement surgery.
Anatomical Structure Annotation
We label anatomical structures to enable surgical AI models to accurately identify and localize critical tissues, enhancing their ability to assist surgeons in real-time procedures. For example, the AI system can accurately label brain structures in neurosurgery, ensuring precise navigation.
Use Cases
Minimally Invasive Surgery
Annotated data is crucial for developing AI-powered models that enhance the accuracy of robotic-assisted surgeries and laparoscopic procedures, leading to smaller incisions, faster recovery times, and reduced trauma.
Surgical Planning and Simulation
Surgical annotated data can be used to generate 3D models of a patient’s anatomy, helping surgeons to plan, simulate, and practice complex surgical procedures beforehand, improving precision and reducing risks.
Vascular Surgery
Annotated images play a crucial role in vascular surgery, helping diagnosis, prognosis, and surgical planning. AI enhances image segmentation, pattern recognition, and task automation, improving efficiency and accuracy. For example, AI-powered systems have improved the accuracy and precision of aneurysm analysis, enabling precise evaluation of geometry and morphology.
Real-time Decision Support
Annotated data enables AI systems to identify critical structures, track surgery progress, and evaluate potential risks in real-time. Surgeons can use such valuable insights to make informed decisions during the procedure.
Urology
The use of AI in urology is increasing for diagnosis and therapy. AI helps medical professionals classify prostate tumor histology, lymph node spread, and differentiate phleboliths from kidney stones on low-dose CT scans. Additionally, AI improves early UTI diagnosis, outperforming current prediction models and enabling faster treatment guided by clinical symptoms and urinalysis.
Robotic Surgery
Annotated data is crucial for advancing robotic surgery. Accurate labeling of datasets enhances the precision of robotic-assisted surgeries and laparoscopic procedures, enabling robots to identify anatomical structures, predict tissue interactions, and guide instruments with greater accuracy.
Why Choose Us?
Experience & Capabilities
With over 8 years of expertise in medical data and AI, we bring together a credentialed project management team, healthcare professionals, and specialized medical annotators, ensuring compliance and precision for every project.
Scalability
Leveraging a large pool of annotators and labelers, we deliver scalable data creation, labeling, and QA services to meet the demands of the most ambitious AI projects.
Operational Excellence
Well-structured management and quality systems enable us to meet the demands of complex medical data annotation projects seamlessly.
Simplifying FDA Approval
Our operations—data handling, annotation, and workflows—adhere to strict standards and requirements for successful FDA approval.
Data Sourcing
Cogito Tech collaborates with a network of trusted clinics, research institutions, pharmaceutical companies, and other healthcare data providers to source and curate radiological imaging data across modalities, including X-rays, CT scans, ultrasounds, and MRIs.
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With experts having specialized knowledge and an established track record of thousands of successful accomplishments, Cogito stands out as a worthy data partner to get on board for the success of your machine-learning model.