MedTrace Logo

AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population

NCT07277686 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1392

Last updated 2026-01-06

No results posted yet for this study

Summary

This study aims to evaluate the effectiveness of this facial image-based AI algorithm for screening CAD in high-risk community populations (specifically individuals with diabetes, hypertension, or aged over 65). The main objectives are:

1. To verify if the AI algorithm can accurately distinguish between high-risk and low-risk groups by comparing the actual prevalence of CAD in these groups.
2. To compare the CAD detection rate using this AI screening strategy against the natural detection rate in a real-world cohort.

Conditions

  • Coronary Artery Disease (CAD)
  • Artificial Intelligence Algorithms
  • Face
  • Screening

Interventions

OTHER

No Intervention

No Intervention

Sponsors & Collaborators

  • Zhoukou Specialized Disease Hospital

    collaborator UNKNOWN

  • Zhoukou Chuanhui District Hospital of Traditional Chinese Medicine

    collaborator UNKNOWN

  • Chinese Academy of Medical Sciences, Fuwai Hospital

    collaborator OTHER

  • Zhoukou Central Hospital

    collaborator OTHER

  • China National Center for Cardiovascular Diseases

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-12-11
Primary Completion
2026-04-01
Completion
2026-08-01

Countries

  • China

Study Locations

More Related Trials

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 NCT07277686 on ClinicalTrials.gov