AI Model for Assessing Cardiac Surgeons' Techniques
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorChina National Center for Cardiovascular Diseases
About this trial
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 criteria
Qualifiers
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
Disqualifiers
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.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
No trial groups listed
Sponsors and collaborators
Source ClinicalTrials.gov