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

Artificial Intelligence (2469) Clinical Information and Decision Making (2157) Natural Language Processing (997) Generative Language Models Including ChatGPT (894) AI Language Models in Health Care (292)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73486, first published .
Pharmacist reviewing patient records in a pharmacy setting

Extracting Clinical Guideline Information Using Two Large Language Models: Evaluation Study

Extracting Clinical Guideline Information Using Two Large Language Models: Evaluation Study

Authors of this article:

Hsing-Yu Hsu1, 2 Author Orcid Image ;   Lu-Wen Chen3 Author Orcid Image ;   Wan-Tseng Hsu1 Author Orcid Image ;   Yow-Wen Hsieh2, 4 Author Orcid Image ;   Shih-Sheng Chang3, 5, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Iqbal S, Ahmadi M, Ahmadian D, Eskander P. Acceptability of a Large Language Model (LLM)-Generated Guideline-Based Checklist Among Otolaryngologists: A Cross-Sectional Survey and Thematic Analysis. Cureus 2026 View
  2. Yao Y, Liu H, Yang D, Luo X, Lai H, Wang Z, Chen Y, Bian Z. Integration of large language models and evidence-based Chinese medicine: a scoping review. Integrative Medicine Research 2026:101349 View

Conference Proceedings

  1. Kang L, Gu J, Jin Y, Wang Y, Gao F. 2026 International Conference on Generative Artificial Intelligence and Information Security (GAIIS). Identification of Inconsistent Recommendations Based on Feature Matching and Screening of Recommendation Opinions View