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.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
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.
Primary outcome measure(s)
Consistency assessment between AI surgical evaluation scores and human expert scores. — At the end of enrollment
Trial sites (1)
Facility
City
Region
Status
Fuwai Hospital, CAMS & PUMC
Beijing
Beijing Municipality
Recruiting
More China National Center for Cardiovascular Diseases trials in China
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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