AI Model for Assessing Cardiac Surgeons' Techniques

Not yet recruiting

• Conditions: CABG-patients; CABG; Cardiovascular Surgery; Surgeons; Artificial Intelligence (AI)

• Registration Number: NCT06739005
• Lead Sponsor: China National Center for Cardiovascular Diseases

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Status Verified: 2024-12
• Study Start: 2024-12
• Study First Submitted: 2024-12-13
• Study First Submitted QC: 2024-12-13
• Last Update Submitted: 2024-12-13
• Study First Posted: 2024-12-18
• Last Update Posted: 2024-12-18
• Primary Completion: 2026-12
• Study Completion: 2027-07

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 284

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.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Consistency assessment between AI surgical evaluation scores and human expert scores.	At the end of enrollment

Secondary Outcome Measures

Name	Time	Method
Intraoperative measurement of graft flow and flow resistance.	After enrollment
Characteristics of the surgeon's motion trajectory.	After enrollment