Machine learning–based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese population

ML models incorporating routine health examination variables can effectively predict CAC-defined cardiovascular risk and may serve as practical, scalable pre-screening tools within preventive healthcare workflows, particularly in settings where laboratory testing or advanced imaging resources may be limited.