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

Cost-Effectiveness and Economics (502) Clinical Information and Decision Making (3672) Machine Learning (3140) Intensive Care Unit (ICU) (190) Artificial Intelligence in Industry (46) Applications of AI (939)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93466, first published .
Aitrics VitalCare MORS economic evaluation model displayed on a large screen, with medical professionals and a businessman observing.

Value of AI in Critical Care Using Real-World Evidence on Intensive Care Unit Mortality Prediction: Cost-Utility Analysis

Value of AI in Critical Care Using Real-World Evidence on Intensive Care Unit Mortality Prediction: Cost-Utility Analysis

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 ;   Kyung Soo Chung3 Author Orcid Image ;   Kwang Joon Kim2 Author Orcid Image ;   Seok Jin Yun4 Author Orcid Image ;   Hyun Jun Lee1, 4 Author Orcid Image ;   Jae-Hyun Kim1, 4 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 ;   Kyung Soo Chung   3 , MD, PhD ;   Kwang Joon Kim   2 , MD ;   Seok Jin Yun   4 ;   Hyun Jun Lee   1, 4 , BS ;   Jae-Hyun Kim   1, 4 , PhD

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

2 AITRICS Corp, Seoul, Republic of Korea

3 Division of Pulmonology, Department of Internal Medicine, Institute for Innovation in Digital Healthcare, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea

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

Corresponding Author:

  • Jae-Hyun Kim, PhD
  • Research Institute for Healthcare Policy, Dankook University
  • Dandae-ro 119
  • Cheonan, Chungcheongnam-do 31116
  • Republic of Korea
  • Phone: 82 10-8438-8353
  • Email: jaehyun@dankook.ac.kr