NCT06739005

AI Model for Assessing Cardiac Surgeons' Techniques

artifiCiAl Intelligence Model for Evaluating the Surgical Techniques of caRdiAc Surgeons (CAMERA)

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 284 (estimated)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The goal of this study aims to investigate the use of artificial intelligence to analyze and evaluate the characteristics and proficiency of surgeons during vascular anastomosis in coronary artery bypass grafting (CABG) procedures. The main question it aims to answer is: Consistency assessment between AI evaluation scores and human expert evaluation scores for surgeons during left anterior descending (LAD) artery anastomosis.

Conditions

• CABG-patients
• CABG
• Cardiovascular Surgery
• Surgeons
• Artificial Intelligence (AI)

Timeline

• Start date: 2025-01-09
• Primary completion: 2026-12-01
• Completion: 2027-07-01
• First posted: 2024-12-18
• Last updated: 2025-09-23

Locations

1 site across 1 country: China