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Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video
Abhinav Khanna1, Tamir Wolf2, Igor Frank1
1From the Department of Urology, Mayo Clinic, Rochester, MN (Khanna, Frank, Krueger, Shah, Sharma, Gettman, Boorjian, Tollefson).
Journal of the American College of Surgeons
|February 7, 2025
Summary
Automated operative reports using artificial intelligence (AI) and computer vision demonstrated higher accuracy than surgeon-authored reports for robotic-assisted radical prostatectomy, reducing documentation burden and improving surgical transparency.
Area of Science:
- Medical Informatics
- Surgical Technology
- Artificial Intelligence in Medicine
Background:
- Operative report creation is time-consuming, contributing to physician burnout and potential inaccuracies.
- Advances in AI and computer vision enable automated analysis of surgical videos.
- Current operative reports can be subjective, incomplete, and contain inaccuracies.
Purpose of the Study:
- To develop a platform for automated, video-based AI surgical operative reports.
- To evaluate the accuracy of AI-generated operative reports in robotic-assisted radical prostatectomy.
Main Methods:
- An AI computer vision algorithm was developed to detect surgical steps from video footage.
- Detected steps were mapped to predefined text to generate a narrative AI operative report.
- AI reports were compared against surgeon-written reports, with expert video review as the ground truth.
Main Results:
- AI operative reports showed higher overall accuracy (87.3%) compared to surgeon reports (72.8%).
- AI reports had fewer clinically significant discrepancies (12.7%) than surgeon reports (27.2%).
- The study included 158 cases from a tertiary referral center.
Conclusions:
- AI-generated operative reports achieved superior accuracy compared to surgeon-written reports.
- This represents the first automated video-based AI surgical documentation system.
- Further research is needed to explore AI's potential in reducing documentation burden and enhancing surgical transparency.
