Artificial intelligence approaches to enable early detection of CKD

Abstract

The late diagnosis of chronic kidney disease (CKD) is a global problem that limits the opportunity to initiate disease-modifying therapies. Artificial intelligence approaches using imaging or laboratory-based models can facilitate the early detection and risk stratification of CKD and thereby enable optimal treatment to reduce the burden of the disease.