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

Artificial Intelligence (4884) Clinical Informatics (2327) Clinical Information and Decision Making (3798) mHealth for Data Collection and Research (1751) Decision Support for Health Professionals (2283) Machine Learning (3258)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95665, first published .
Healthcare worker in PPE reviews patient data on a tablet in ICU

AI-Based Sepsis Prediction in Hospitalized Adults: Systematic Review, Subgroup Meta-Analysis, and Contextual Analysis of Clinical Burden

AI-Based Sepsis Prediction in Hospitalized Adults: Systematic Review, Subgroup Meta-Analysis, and Contextual Analysis of Clinical Burden

Authors of this article:

Gyeong Min Lee1 Author Orcid Image ;   Joo-Yun Won2 Author Orcid Image ;   Eun Young Cho2 Author Orcid Image ;   Ji-Hyun Kim2 Author Orcid Image ;   Kwang Joon Kim2 Author Orcid Image ;   Yu Seung Lee1 Author Orcid Image ;   Hyun Jun Lee1, 3 Author Orcid Image ;   Jae Hyun Kim1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Gyeong Min Lee   1 , PhD ;   Joo-Yun Won   2 , PhD ;   Eun Young Cho   2 , PhD ;   Ji-Hyun Kim   2 , PhD ;   Kwang Joon Kim   2 , MD ;   Yu Seung Lee   1 ;   Hyun Jun Lee   1, 3 , BS ;   Jae Hyun Kim   1, 3 , PhD

1 Research Institute for Healthcare Policy, Dankook University, Cheonan, Chungcheongnam-do, Republic of Korea

2 AITRICS Corp, Seoul, Republic of Korea

3 Department of Health Administration, College of Public Health Sciences, Dankook University, Cheonan-si, Chungcheongnam-do, Republic of Korea

Corresponding Author:

  • Jae Hyun Kim, PhD
  • Department of Health Administration
  • College of Public Health Sciences, Dankook University
  • Dongnam-gu, 119, Dandae-ro
  • Cheonan-si, Chungcheongnam-do 31116
  • Republic of Korea
  • Phone: 82 10-8438-8353
  • Fax: 82 41-559-7934
  • Email: jaehyun@dankook.ac.kr