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Performance Evaluation of Artificial Intelligence Screening Model in Coronary Heart Disease Detection
Sponsor: Tsinghua University
Summary
To determine whether an integrated AI decision support can save time and improve accuracy of assessment of obstructive coronary heart disease (CHD), the investigators are conducting a randomized controlled study of AI guided measurements of obstructive CHD probability compared to clinical assessment in preliminary evaluations by physicians.
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
900
Start Date
2025-01-10
Completion Date
2025-05
Last Updated
2025-04-08
Healthy Volunteers
No
Conditions
Interventions
Physician readers will be assisted with AI-derived probability and diagnosis of obstructive coronary heart disease
Physician readers will be assisted with AI-derived probability and diagnosis of obstructive coronary heart disease. The AI tool provides individualized obstructive CHD probabilities and diagnosis, leveraging retinal biomarkers associated with cardiovascular risk.
Physician readers will be assisted with RF-CL table to calculate the probability of obstructive coronary heart disease
Physicians use a RF-CL table (risk factor weighted clinical likelihood table) to calculate the probability of obstructive CHD.
Locations (3)
Tsinghua University
Beijing, Beijing Municipality, China
Shanghai Health and Medical Center
Shanghai, Shanghai Municipality, China
Shanghai Sixth People's Hospital
Shanghai, Shanghai Municipality, China