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

China National Center for Cardiovascular Diseases1,392 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

1,392

Conditions

Coronary Artery Disease (CAD)Artificial Intelligence Algorithms Face Screening

Interventions

No Intervention

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Locations (3)

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

Outcomes

Primary Outcomes

Difference in Prevalence of CAD Between AI-Stratified High-Risk and Low-Risk Groups

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.

Time frame: Up to 6 months

Secondary Outcomes

The detection rate of CAD

Time frame: 6 months

Incidence of Major Adverse Cardiovascular Events (MACE)

MACE is defined as a composite endpoint including all-cause death, myocardial infarction, and ischemia-driven coronary revascularization. The incidence of MACE will be compared between the diagnostic test cohort and the real-world observational cohort.

Time frame: 6 months

Incidence of All-Cause Death

The number of participants who die from any cause during the follow-up period.

Time frame: 6 months

Incidence of Myocardial Infarction

The number of participants who experience a myocardial infarction event, diagnosed based on standard clinical guidelines (e.g., symptoms, ECG changes, and troponin elevation).

Time frame: 6 months

Incidence of Ischemia-Driven Coronary Revascularization

Defined as any percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) driven by ischemic symptoms or objective evidence of ischemia.

Time frame: 6 months

Incidence of Screening-Driven Coronary Revascularization

Defined as coronary revascularization procedures (PCI or CABG) triggered by findings from screening examinations rather than acute clinical symptoms.

Time frame: 6 months

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

Overview

Conditions

Interventions

Eligibility

Locations (3)

Outcomes

Primary Outcomes

Secondary Outcomes

Central Contacts