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

Digital Health Reviews (1724) Artificial Intelligence (2129) Clinical Informatics (1325) Natural Language Processing (917) mHealth in a Clinical Setting (743)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84120, first published .
Knowledge-Practice Performance Gap in Clinical Large Language Models: Systematic Review of 39 Benchmarks

Knowledge-Practice Performance Gap in Clinical Large Language Models: Systematic Review of 39 Benchmarks

Knowledge-Practice Performance Gap in Clinical Large Language Models: Systematic Review of 39 Benchmarks

Authors of this article:

Eun Jeong Gong1, 2, 3 Author Orcid Image ;   Chang Seok Bang1, 2, 3 Author Orcid Image ;   Jae Jun Lee3, 4 Author Orcid Image ;   Gwang Ho Baik1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Eun Jeong Gong   1, 2, 3 , MD, PhD ;   Chang Seok Bang   1, 2, 3 , MD, PhD ;   Jae Jun Lee   3, 4 , MD, PhD ;   Gwang Ho Baik   1, 2 , MD, PhD

1 Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Gangwon, Republic of Korea

2 Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Gangwon-do, Republic of Korea

3 Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Gangwon, Republic of Korea

4 Department of Anesthesiology and Pain Medicine, Hallym University College of Medicine, Chuncheon, Gangwon, Republic of Korea

Corresponding Author:

  • Chang Seok Bang, MD, PhD
  • Department of Internal Medicine
  • Hallym University College of Medicine
  • Sakju-ro 77
  • Chuncheon, Gangwon 24253
  • Republic of Korea
  • Phone: 82 332405000
  • Fax: 82 2418064
  • Email: csbang@hallym.ac.kr