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AI Model for Assessing Cardiac Surgeons' Techniques

NCT06739005 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 284

Last updated 2025-09-23

No results posted yet for this study

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.

Conditions

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

Sponsors & Collaborators

  • China National Center for Cardiovascular Diseases

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-09
Primary Completion
2026-12-31
Completion
2027-07-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06739005 on ClinicalTrials.gov