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Digital Health Reviews (1825) Artificial Intelligence (2349) Clinical Informatics (1444) Natural Language Processing (954) mHealth in a Clinical Setting (775)

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 (6) Tweetations Metrics

Journals

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  2. Spieser J, Balapour A, Meller J, Patra K, Shamsaei B. A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis. Methods and Protocols 2026;9(2):33 View
  3. Zhu Q, Li Q, Zan Y, Lu Y, Xia L, Xia Y, Xu T. Patient-centered gastrointestinal function assessment technologies: a paradigm shift from traditional approaches to non-invasive innovations. Frontiers in Physiology 2026;17 View
  4. Prause M. No skin in the game: why agentic AI requires principal-agent governance. AI and Ethics 2026;6(2) View
  5. Eltaybani S. Knowledge Cut‐Off in Large Language Models: Implications for Critical Care Nursing. Nursing in Critical Care 2026;31(3) View

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  1. Kumar A, Joshi S, Sachdeva S. 2026 International Conference on Signal Processing and Electronics Design (ICSPED). JsonUtil: An Open-Source RESTful JSON-Based Dynamic Form Generation Framework validation with OpenEHR ORBDA Benchmarking Dataset View