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Machine Learning (3355) Clinical Informatics (2403) Clinical Information and Decision Making (3914) Decision Support for Health Professionals (2367) Electronic Health Records (1802) Applications of AI (1108) Nephrology/Renal Disorders (153)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90687, first published .
Doctor using a tablet for medical diagnosis, with AI healthcare technology.

Early Prediction and Prognosis in Acute Kidney Injury Using a Biomarker-Aware Transformer: Retrospective Multicenter Study

Early Prediction and Prognosis in Acute Kidney Injury Using a Biomarker-Aware Transformer: Retrospective Multicenter Study

Authors of this article:

Zijian Xu1 Author Orcid Image ;   Deyi Li1 Author Orcid Image ;   Qi Xu1 Author Orcid Image ;   Alan SL Yu2 Author Orcid Image ;   Elizabeth A Chrischilles3 Author Orcid Image ;   Lindsay G Cowell4 Author Orcid Image ;   Kathleen M McTigue5 Author Orcid Image ;   Raghavan Murugan6 Author Orcid Image ;   Dana Y Fuhrman7 Author Orcid Image ;   Mei Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zijian Xu   1 , MS ;   Deyi Li   1 , MS ;   Qi Xu   1 , PhD ;   Alan SL Yu   2 , MBBCHIR ;   Elizabeth A Chrischilles   3 , PhD ;   Lindsay G Cowell   4 , PhD ;   Kathleen M McTigue   5 , MD ;   Raghavan Murugan   6 , MD, MS ;   Dana Y Fuhrman   7 , DO ;   Mei Liu   1 , PhD

1 Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States

2 Division of Nephrology and Hypertension and the Kidney Institute, University of Kansas Medical Center, Kansas City, KS, United States

3 Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, United States

4 Department of Health Data Science and Biostatistics, Peter O’Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX, United States

5 Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

6 Department of Critical Care Medicine, Program for Critical Care Nephrology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

7 Divisions of Critical Care Medicine and Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Corresponding Author:

  • Mei Liu, PhD
  • Department of Health Outcomes and Biomedical Informatics
  • College of Medicine
  • University of Florida
  • 1889 Museum Rd, 7th Floor, Suite 7000, Room 7012
  • Gainesville, FL 32611
  • United States
  • Phone: 1 3526279143
  • Email: mei.liu@ufl.edu