RecruitingNCT07277686

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

Sponsor

China National Center for Cardiovascular Diseases

Enrollment

1,392 participants

Start Date

Dec 11, 2025

Study Type

OBSERVATIONAL

Conditions

Screening Coronary Artery Disease (CAD)Artificial Intelligence Algorithms Face

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.

Eligibility

Min Age: 18 Years

Inclusion Criteria5

Age \>= 18 years.
Community high-risk population, defined as individuals meeting at least one of the following criteria:
Diagnosed with Diabetes Mellitus;
Diagnosed with Hypertension;
Advanced age (\> 65 years old).

Exclusion Criteria4

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.

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