artifiCiAl Intelligence Model for Evaluating the Surgical Techniques of caRdiAc Surgeons (CAMERA)
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- CABG-patients
- Sponsor
- China National Center for Cardiovascular Diseases
- Enrollment
- 284
- Locations
- 1
- Primary Endpoint
- Consistency assessment between AI surgical evaluation scores and human expert scores.
- Status
- Recruiting
- Last Updated
- 7 months ago
Overview
Brief 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.
Investigators
Shengshou Hu
Academician of Chinese Academy of Engineering President, Fuwai Hospital Director, National Center for Cardiovascular Diseases Director, NCRC Director, State Key Laboratory of Cardiovascular Disease Chairman, China Heart Congress (CHC) Former President
China National Center for Cardiovascular Diseases
Eligibility Criteria
Inclusion Criteria
- •Age ≥ 18 years
- •Undergoing internal mammary artery-to-left anterior descending artery bypass grafting
- •First-time recipient of isolated CABG surgery
- •Signed written informed consent
Exclusion Criteria
- •Patients with acute coronary syndrome
- •Patients with contraindications to coronary CT angiography or coronary angiography
- •Patients with renal insufficiency or active liver disease, including those with persistently elevated serum transaminases of unknown cause or any serum transaminase levels exceeding three times the upper limit of normal.
Outcomes
Primary Outcomes
Consistency assessment between AI surgical evaluation scores and human expert scores.
Time Frame: At the end of enrollment
Secondary Outcomes
- Intraoperative measurement of graft flow and flow resistance.(After enrollment)
- Characteristics of the surgeon's motion trajectory.(After enrollment)
- Consistency assessment between AI surgical evaluation scores levels and human expert scores levels.(After enrollment)