Artificial Intelligence in Acute Kidney Injury: From Static to Dynamic Models

Nupur S. Mistry, Jay L. Koyner

DOI: 10.1053/j.ackd.2021.03.002

Journal: Advances in Chronic Kidney Disease

The advances made in AKI risk prediction over the last several years are summarized, including a shift toward more dynamic, real-time, electronic medical record-based models and the role of electronic AKI alerts and decision support tools.