AI Model for Assessing Cardiac Surgeons' Techniques

Recruiting now

Conditions studied: CABG-patients, CABG, Cardiovascular Surgery, Surgeons, Artificial Intelligence (AI)

In brief

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.

Key facts

Study ID

NCT06739005

Run by

China National Center for Cardiovascular Diseases

People needed

284

Starts

2025-01-09

Expected to finish

2027-07-01

Last updated by the study team

2025-09-23

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• 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 is running

• Fuwai Hospital, CAMS & PUMC — Beijing, Beijing Municipality, China (enrolling)

Full record on ClinicalTrials.gov

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