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The Film Room: Using Artificial Intelligence to Facilitate Video Review for Urology Trainees
Grant M Henning1, Bridget L Findlay1, Tal D Cohen1
1Department of Urology, Mayo Clinic, Rochester, Minnesota 55905.
Journal of Surgical Education
|September 21, 2024
Summary
AI-assisted video platforms enhance surgical education by automating video analysis for better preparation and feedback. This technology streamlines the use of video-based learning in surgical training programs.
Area of Science:
- Surgical Education Technology
- Artificial Intelligence in Medicine
- Computer Vision Applications
Background:
- Video-based learning is valuable for surgical preparation, feedback, and coaching.
- Manual video annotation is labor-intensive, limiting program scalability.
- Advancements in AI and computer vision enable automated video analysis.
Purpose of the Study:
- To develop a novel AI-assisted video forum for surgical education.
- To assess the early implementation and utility of this platform in a clinical setting.
Main Methods:
- Development of a new AI-powered video platform.
- Integration of computer vision for automated video annotation and organization.
- Deployment and evaluation of the platform in surgical training.
Main Results:
- Automated video analysis significantly reduces manual workload.
- The AI-assisted forum facilitates targeted feedback and coaching.
- Early adoption shows promise for enhancing surgical preparation.
Conclusions:
- AI-driven video platforms offer an efficient solution for surgical education.
- Automated video organization and annotation are key to scalable video-based learning.
- This technology has the potential to revolutionize surgical training and skill development.
