And Digital Health Set to Reshape Cardiometabolic Medicine, Major Review

A comprehensive review in BMC Medicine says AI and digital health tools could reshape how cardiometabolic diseases are predicted, prevented, and managed, but only if technical and ethical hurdles are addressed. The review, led by Kelvin Ing Leong Tiong, Nur Elliyana Abd Rahman, and Lee-Ling Lim of Universiti Malaya with collaborators across South Korea, Hong Kong, and Australia, synthesizes evidence from systematic reviews, meta-analyses, randomized trials, and observational studies. It argues digital tools have shown clinical promise but haven’t fully moved beyond traditional intervention models. A key theme is risk prediction: machine learning may outperform classic calculators like Framingham, SCORE, QRISK3, and PREVENT by using multimodal data, including wearables and genomic information.