Artificial intelligence for predicting chronic kidney disease progression: A review of current evidence and global clinical implications

Chronic Kidney Disease (CKD) affects approximately 800 million people globally and represents a growing public health and economic burden. Traditional prognostic tools, such as the Kidney Failure Risk Equation, demonstrate limited discriminative accuracy in early disease stages (G1–G3), where kidney failure events are inherently rare.