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
This trial does not accept healthy volunteersQualifiers
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 population
The study population consists of adult patients who meet the inclusion criteria of being aged 18 years or older, undergoing their first isolated coronary artery bypass grafting (CABG) surgery using internal mammary artery-to-left anterior descending artery bypass grafting. All participants should signed written informed consent prior to inclusion in the study. Exclusion criteria include patients with acute coronary syndrome, contraindications to coronary CT angiography or coronary angiography, and those with renal insufficiency or active liver disease. Specifically, patients with persistently elevated serum transaminases of unknown cause or those with any serum transaminase levels exceeding three times the upper limit of normal will also be excluded from the study.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Consistency assessment between AI surgical evaluation scores and human expert scores.
Time frame
At the end of enrollmentSecondary outcomes
1
Intraoperative measurement of graft flow and flow resistance.
Time frame
After enrollment2
Characteristics of the surgeon's motion trajectory.
Time frame
After enrollment3
Consistency assessment between AI surgical evaluation scores levels and human expert scores levels.
AI surgical evaluation scores levels were divided into the following 3 score levels: low, middle, high; human expert scores levels were divided into the following 3 score levels: low, middle, high.
Time frame
After enrollmentOther outcomes
1
Graft patency at 1 year postoperatively.
Time frame
At 1 year2
Adverse cardiovascular events, such as myocardial infarction and stroke, within 6 months postoperatively.
Time frame
At 6 months3
Adverse cardiovascular events, such as myocardial infarction and stroke, within 12 months postoperatively.
Time frame
At 12 months4
Surgeon-level subgroup: age
Age subgroup is stratified into: \<45, ≥45 years old
Time frame
BaselineSponsors and contacts
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Source ClinicalTrials.gov