Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study

Precise prediction of contrast media-induced acute kidney injury (CIAKI) is an important issue because of its relationship with poor outcomes.Herein, we examined whether a deep learning algorithm could predict the risk of intravenous CIAKI better than other machine learning and logistic regression models in patients undergoing computed tomography (CT).A total of 14,185 patients who were administered intravenous contrast media for CT at the...