Unsupervised clustered-derived phenotyping in carotid artery disease: a novel risk stratification model integrating artificial intelligence algorithm with clinical data
Patients with carotid atherosclerotic disease remain at substantial cardiovascular risk despite optimal medical therapy and carotid endarterectomy (CEA). This residual risk may reflect the biological heterogeneity of atherosclerosis. Identifying distinct atherosclerotic phenotypes may improve prediction of Major...