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

Machine Learning (1984) Decision Support for Health Professionals (1479) Big Data (305) Advanced Data Analytics in eHealth (197) Electronic Health Records (1278) Nephrology/Renal Disorders (92)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47693, first published .
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Authors of this article:

Suncheol Heo1 Author Orcid Image ;   Eun-Ae Kang2 Author Orcid Image ;   Jae Yong Yu1 Author Orcid Image ;   Hae Reong Kim1 Author Orcid Image ;   Suehyun Lee3 Author Orcid Image ;   Kwangsoo Kim4 Author Orcid Image ;   Yul Hwangbo5 Author Orcid Image ;   Rae Woong Park6 Author Orcid Image ;   Hyunah Shin7 Author Orcid Image ;   Kyeongmin Ryu7 Author Orcid Image ;   Chungsoo Kim8 Author Orcid Image ;   Hyojung Jung5 Author Orcid Image ;   Yebin Chegal9 Author Orcid Image ;   Jae-Hyun Lee10, 11 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Cho N, Jeong I, Ahn S, Gil H, Kim Y, Park J, Kang S, Lee H. Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study. Journal of Medical Internet Research 2025;27:e66568 View
  2. Popoff B, Cabon S, Cuggia M, Bouzillé G, Clavier T. Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study. JMIR Medical Informatics 2025;13:e63709 View
  3. Zhang R, Wen H, Lin Z, Li B, Zhou X. Artificial Intelligence-Driven Drug Toxicity Prediction: Advances, Challenges, and Future Directions. Toxics 2025;13(7):525 View
  4. Shickel B, Ozrazgat-Baslanti T, Bihorac A. Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury. Current Opinion in Nephrology & Hypertension 2025 View