Clinical trial Recruiting at 2 sites Observational Ages 18 and up

AI facial-photo screening for coronary artery disease in high-risk community members

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

Run by China National Center for Cardiovascular Diseases · NCT07277686 · Data updated 2026-11-12

This project tests whether an AI algorithm can use a facial photo to screen for coronary artery disease in people with diabetes, high blood pressure, or over age 65.

More Coronary Artery Disease (CAD) trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1392 (estimated)
SponsorChina National Center for Cardiovascular Diseases
Government
Locations3 sites (Zhoukou, Henan and 2 other locations)
StatusRecruiting
StartedDecember 11, 2025
Main results expectedApril 1, 2026
Study endsAugust 1, 2026
Registry record updatedJanuary 6, 2026
Trial IDNCT07277686 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 18 or older who live in the participating communities, have diabetes, hypertension, or are older than 65, and who do not have prior CAD or heart failure and can have clear facial photos taken.

Probably not a fit

People with a prior diagnosis of coronary artery disease or heart failure, those with major facial surgery or severe facial trauma, or those who refuse participation are unlikely to benefit from this screening approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study will use an AI algorithm to analyze standardized facial images from community-dwelling adults at high risk for coronary artery disease (those with diabetes, hypertension, or aged >65). Participants without prior CAD or heart failure will have facial photographs taken and their AI-assigned risk will be compared to actual CAD prevalence in high- versus low-risk groups. The study will also compare the CAD detection rate using the AI screening strategy to the natural detection rate observed in the real-world cohort. Enrollment and data collection occur at participating hospitals in Zhoukou, Henan and at Fuwai Hospital/CAMS in Beijing.

Why it matters

Potential benefit: If successful, this method could provide a low-cost, noninvasive way to identify people at higher risk of coronary artery disease in community settings.

How similar studies have gone: Facial-image AI for cardiovascular risk is a relatively new approach with limited prior validation, although early pilot work has suggested facial features may correlate with cardiovascular risk factors.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age \>= 18 years.
* Community high-risk population, defined as individuals meeting at least one of the following criteria:

  1. Diagnosed with Diabetes Mellitus;
  2. Diagnosed with Hypertension;
  3. Advanced age (\> 65 years old).

Exclusion Criteria:

* Prior confirmed diagnosis of Coronary Heart Disease (CAD), including clinically diagnosed CAD, history of Coronary Artery Bypass Grafting (CABG), or history of Percutaneous Coronary Intervention (PCI).
* History of diagnosed Heart Failure.
* Significant facial alterations or conditions that may interfere with AI image analysis, such as plastic surgery, severe facial trauma, or heavy makeup.
* Refusal to participate in the study.

Where it's running

  • Zhoukou Chuanhui District Hospital of Traditional Chinese Medicine
    Zhoukou, Henan, China
    Recruiting
  • Zhoukou Specialized Disease Hospital
    Zhoukou, Henan, China
    Recruiting
  • Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
    Beijing, China
    Not yet recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.