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.
Individuals without uncontrolled vascular risk factors
Age range: 40-75 years old
Can accept and cooperate with the examination and potential follow-up work after being selected for clinical trials
Severe lung disease and cancer or surgery patients
Statin user or pre-existing cardiovascular disease
Individuals with severe liver and kidney dysfunction and electrolyte imbalance