AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population
Condition(s) studied
Investigational drug(s) / intervention(s)
No Intervention: No Intervention
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.
Eligibility
Primary outcome measure(s)
- Difference in Prevalence of CAD Between AI-Stratified High-Risk and Low-Risk Groups — Up to 6 months
Participants in the diagnostic test cohort are stratified into high-risk and low-risk groups using the AI screening strategy. Subsequently, all participants undergo Coronary Computed Tomography Angiography (CCTA). This outcome measures the difference in CAD prevalence between the two groups based on CCTA results.
Trial sites (3)
| Facility | City | Region | Status |
|---|---|---|---|
| Zhoukou Chuanhui District Hospital of Traditional Chinese Medicine | Zhoukou | Henan | Recruiting |
| Zhoukou Specialized Disease Hospital | Zhoukou | Henan | Recruiting |
| Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College | Beijing | China | Not Yet Recruiting |
More China National Center for Cardiovascular Diseases trials in China
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07277686 on ClinicalTrials.gov ↗ ← All trials in China