A novel artificial intelligence-guided quantitative computed tomography ischemia algorithm (AI-QCTischemia) comprises a machine-learned method using atherosclerosis and vascular morphology features from coronary computed tomography angiography (CCTA) images to predict myocardial ischemia. This study evaluates the diagnostic performance of AI-QCTischemia compared to standard CCTA interpretation in detecting myocardial ischemia.