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Digital Health Reviews (1837) Clinical Informatics (1454) Natural Language Processing (967) mHealth in a Clinical Setting (780) Artificial Intelligence (2385)

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 (9) 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
  6. Lee W, Kim J, Leem J, Lee B, Lee S, Kim Y. Benchmark Evaluation of a Tool-Augmented Large Language Model Agent Using Traditional Asian Medicine Metadata. Applied Sciences 2026;16(7):3377 View
  7. Mine Y, Taji T, Okazaki S, Takeda S, Shimoe S, Kaku M, Nikawa H, Kakimoto N, Murayama T. Beyond exam accuracy: Tracking a persistent-failure set reveals visual dental reasoning gaps in multimodal LLMs. Journal of Dentistry 2026:106675 View
  8. Wang X, Yin C, He H, Guo J, Fu X, Bai F. Benchmarking public large language model responses to patient-facing inflammatory bowel disease questions: informational quality, transparency proxies, and readability. Frontiers in Public Health 2026;14 View

Conference Proceedings

  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