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.
Age >= 18 years.
Diagnosed with Diabetes Mellitus;
Diagnosed with Hypertension;
Advanced age (> 65 years old).
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.
China National Center for Cardiovascular Diseases
Lead sponsor
Zhoukou Specialized Disease Hospital
Collaborator
Zhoukou Chuanhui District Hospital of Traditional Chinese Medicine
Collaborator
Chinese Academy of Medical Sciences, Fuwai Hospital
Collaborator
Zhoukou Central Hospital
Collaborator