This paper is in the following e-collection/theme issue:

Machine Learning (1501) Artificial Intelligence (1421) Clinical Informatics (1050) Bioinformatics Methods and Algorithms (14) Tools, Programs and Algorithms (275) Imaging Informatics (200)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27177, first published .
Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study

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

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

Authors of this article:

Donghwan Yun1, 2 Author Orcid Image ;   Semin Cho2 Author Orcid Image ;   Yong Chul Kim2 Author Orcid Image ;   Dong Ki Kim2 Author Orcid Image ;   Kook-Hwan Oh2 Author Orcid Image ;   Kwon Wook Joo2 Author Orcid Image ;   Yon Su Kim1, 2 Author Orcid Image ;   Seung Seok Han1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Donghwan Yun   1, 2 , MD ;   Semin Cho   2 , MD ;   Yong Chul Kim   2 , MD, PhD ;   Dong Ki Kim   2 , MD, PhD ;   Kook-Hwan Oh   2 , MD, PhD ;   Kwon Wook Joo   2 , MD, PhD ;   Yon Su Kim   1, 2 , MD, PhD ;   Seung Seok Han   1, 2 , MD, PhD

1 Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea

2 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Seung Seok Han, MD, PhD
  • Department of Biomedical Sciences
  • Seoul National University College of Medicine
  • 103 Daehakro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-4785 ext 8095
  • Fax: 82 2-745-2264
  • Email: hansway80@gmail.com