External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients

Objectives The purpose of this study was to externally validate algorithms (previously developed and trained in two United States populations) aimed at early detection of severe oliguric AKI (stage 2/3 KDIGO) in intensive care units patients.