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Using Retinal Photograph Based AI to Predict Incident Coronary Heart Disease
Sponsor: Tsinghua University
Summary
To determine whether an integrated retinal AI decision support can improve predictive accuracy of coronary heart disease (CHD), the investigators are conducting a randomized controlled study of AI guided prediction of CHD compared to clinical prediction by physicians (e.g., usingPCEs), both using clinical intuition as baseline.
Key Details
Gender
All
Age Range
40 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
1570
Start Date
2025-01
Completion Date
2025-05
Last Updated
2024-11-19
Healthy Volunteers
Yes
Conditions
Interventions
AI-derived probability of coronary heart disease.
Physician readers will be assisted with AI-derived probability of coronary heart disease. The AI tool provides individualized obstructive CHD probabilities and diagnosis, leveraging retinal biomarkers associated with cardiovascular risk.
PCEs derived ASCVD risk
Physicians use a PCEs to calculate the probability of 10 year ASCVD risk. This approach aligns with current clinical guidelines to assist in decision-making.