NCT07277686

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

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,392 (estimated)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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

Type	Name	Description
OTHER	No Intervention	No Intervention

Timeline

• Start date: 2025-12-11
• Primary completion: 2026-04-01
• Completion: 2026-08-01
• First posted: 2025-12-11
• Last updated: 2026-01-06

Locations

3 sites across 1 country: China