AI-CCTA for Predicting Cardiovascular Events in CAD

This study aims to evaluate the value of AI-derived CCTA parameters in predicting cardiovascular events in CAD patients using ICA and QFR as reference standards and investigating associations with MACE during follow-up and modifying factors such as lipid-lowering therapies and inflammatory biomarkers.

This multicenter, retrospective registry study aims to evaluate the value of artificial intelligence (AI)-derived coronary CT angiography (CCTA) parameters in predicting long-term cardiovascular events in patients with coronary artery disease (CAD).