Predicting pediatric cardiac surgery-associated acute kidney injury using machine learning.

A supervised ML model utilizing demographic, preoperative, intraoperative, and immediate postoperative clinical and laboratory data showed promising performance in predicting moderate to severe CS-AKI at POD2 in pediatric patients. A higher resolution version of the Graphical abstract is available as Supplementary information.