Radiomics, which leverages advanced image analysis to extract quantitative data, holds promise for improving risk stratification in cardiovascular imaging.1 While artificial intelligence has demonstrated utility in the cardiovascular field,2 the potential of coronary computed tomography angiography (CCTA) radiomics for predicting post-PCI clinical outcomes remains unclear. We recently reported that the coronary artery calcium (CAC) score in CCTA effectively predicts clinical events following per…