Predicton of major adverse cardiovascular events in patients with hypertrophic cardiomyopathy by deep learning and radiomics

The DTL-RAD model demonstrated exceptional performance in identifying HCM patients at risk of MACE, accurately detecting high-risk individuals among HCM patients at an early stage. This provides a basis for precise clinical intervention, effectively reducing the incidence of MACE in HCM patients.