Cardiovascular medicine is undergoing a substantive paradigm shift, moving from a predominantly reactive, symptom-driven model toward a preventive framework grounded in early detection and individualized risk assessment. At the center of this transition is the integration of artificial intelligence (AI) with coronary computed tomography angiography (CCTA), particularly through the development of atherosclerosis imaging–quantitative computed tomography (AI-QCT).