AI analysis of surgeons' techniques during coronary artery bypass grafting
Official title: artifiCiAl Intelligence Model for Evaluating the Surgical Techniques of caRdiAc Surgeons (CAMERA)
Run by China National Center for Cardiovascular Diseases · NCT06739005 · Data updated 2026-11-12
We will see if an AI program can score surgeons' stitching technique during left anterior descending artery bypass in adults having their first isolated CABG.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 284 (estimated) |
| Sponsor | China National Center for Cardiovascular Diseases Government |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Status | Recruiting |
| Started | January 9, 2025 |
| Main results expected | December 2026 |
| Study ends | July 2027 |
| Registry record updated | September 23, 2025 |
| Trial ID | NCT06739005 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (≥18 years) having a first-time isolated CABG with an internal mammary artery-to-LAD graft who can provide written informed consent are the intended participants.
✕Probably not a fit
Patients with acute coronary syndrome, contraindications to coronary CT/angiography, or significant renal or liver impairment are excluded and are unlikely to benefit directly from participation, and participants should not expect direct therapeutic benefit because this is observational.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project collects operative recordings and related imaging from adults undergoing internal mammary artery-to-left anterior descending artery bypass as part of first-time isolated CABG. An AI model will analyze features of the vascular anastomosis and generate proficiency scores for surgeons. Those AI scores will be compared with independent human expert evaluations to measure consistency. No changes to surgical care are made and data are gathered at a single cardiac center in Beijing.
Why it matters
Potential benefit: If successful, this could help standardize measurement of surgical skill and improve training and quality monitoring, potentially leading to safer and more consistent CABG outcomes.
How similar studies have gone: Similar AI methods have shown promise for automatically scoring surgical skills in minimally invasive and simulated tasks, but applying them specifically to coronary artery bypass anastomosis is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion 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.
Where it's running
-
Fuwai Hospital, CAMS & PUMC
Beijing, Beijing Municipality, China Recruiting
Study contacts
- Study coordinator: Lihua Zhang, M.D, Ph.D
- Email: zhanglihua@fuwai.com
- Phone: 8613641359895
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.