Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis

Does machine learning combining clinical and CCTA data improve prediction of 5-year all-cause mortality in patients with suspected coronary artery disease compared to existing clinical or CCTA metrics alone?

Machine learning models integrating clinical and CCTA data improve 5-year mortality prediction over traditional metrics in patients with suspected CAD.