AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting

This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing coronary artery bypass grafting (CABG). This is a single-group, self-controlled, pre-post interventional study. Participating surgeons will submit a baseline CABG surgical video, which will be assessed by both an AI model and blinded human expert raters using standardized scoring criteria. Based on the AI assessment, surgeons will receive personalized video feedback highlighting operative steps associated with lower technical performance. After a one-month self-directed review period, a follow-up CABG surgical video will be submitted and evaluated using the same process. Changes in human-rated technical skill scores between baseline and follow-up will be used to assess the potential educational impact of AI-generated video feedback.

NCT Number	NCT07400172
Lead Sponsor	China National Center for Cardiovascular Diseases
Conditions	Cardiac, Surgery (Cardiac), Education, Artificial Intelligence (AI)
Enrollment	100 participants
Start Date	2026-01-31
Primary Completion	2026-03-31 (estimated)
Study Completion	2026-04-30 (estimated)
Updated on ClinicalTrials.gov	2026-02-10