Artificial intelligence-based analysis of cardiac images to predict and prevent heart attack. Artificial intelligence-enabled quantitative cardiac imaging in cardiometabolic disease. Machine learning integration of imaging and clinical biomarkers. Automated coronary artery analysis from cardiac CT - measurement of total plaque burden and epicardial fat burden. Improving image quality and image acquisition and analysis in PET-MR, and reducing radiation dose in cardiac CT and cardiac PET-CT.