Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study.
Donghwan YunSemin ChoYong Chul KimDong-Ki KimKook-Hwan OhKwon Wook JooYon Su KimSeung Seok HanPublished in: JMIR medical informatics (2021)
Application of a deep learning algorithm improves the predictability of intravenous CIAKI after CT, representing a basis for future clinical alarming and preventive systems.