The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients. The main questions it aims to answer are: 1. Whether the AI model enables to detect and quantify coronary plaques compared with intravascular ultrasound or expert readers; 2. Whether the AI model enables to identify vulnerable plaques using intravascular ultrasound or optical coherence tomography as the reference standard. 3. Whether the AI model enables to predict future adverse cardiac events in a large cohort of 10,000 patients with non-obstructive CAD. 4. Whether the AI model enables to influnece downstream clincial decision-making.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Sensitivity and specificity of AI-assisted coronary CT angiography on identifying vulnerable plaques compared to intravascular imaging
Timeframe: 1 day