Atherosclerotic Cardiovascular Disease (ASCVD) is the leading cause of death worldwide. It represents 31% of all deaths and 16% of healthcare costs in Switzerland. Enhancing diagnostic tools for early detection is crucial for prevention. Recent findings, such as the coronary artery calcification (CAC) score and arterial stiffness index, have emerged as key predictive factors for ASCVD. A CAC score above 100 notably increases ASCVD risk, yet treatments to prevent calcification are still unknown. Improved access to these indicators could advance our understanding of ASCVD and hasten the development of preventive treatments. Concurrently, AI analysis of medical images is proving to be a breakthrough in realizing the full potential of these diagnostic tools.