Background and aims Artificial intelligence (AI) is increasing its role in diagnosis of patients
with suspicious coronary artery disease. The aim of this manuscript is to develop a deep
convolutional neural network (CNN) to classify coronary computed tomography angiography
(CCTA) in the correct Coronary Artery Disease Reporting and Data System (CAD-RADS)
category. Methods Two hundred eighty eight patients who underwent clinically indicated
CCTA were included in this single-center retrospective study. The CCTAs were stratified by …