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

Autor: Donghwan Yun, Semin Cho, Yong C Kim, Dong K Kim, Kook-Hwan Oh, Kwon W Joo, Yon S Kim, Seung S Han

BACKGROUND Precise prediction of contrast media–induced acute kidney injury (CIAKI) is an important issue because of its relationship with poor outcomes. OBJECTIVE Herein, we examined whether a deep learning algorithm could predict the risk of intr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6307216e8f7d3381414192a3d5ef7d44
https://doi.org/10.2196/preprints.27177

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