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

Artificial Intelligence (1602) Generative Language Models Including ChatGPT (413) Machine Learning (61) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (41) AI Language Models in Health Care (85) Clinical Information and Decision Making (1546) Chronic Conditions (310) Aging with Chronic Disease (125)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58158, first published .
Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA

Authors of this article:

Xi Chen1, 2 Author Orcid Image ;   Li Wang1, 2 Author Orcid Image ;   MingKe You1, 2 Author Orcid Image ;   WeiZhi Liu1, 2 Author Orcid Image ;   Yu Fu3 Author Orcid Image ;   Jie Xu4 Author Orcid Image ;   Shaoting Zhang4 Author Orcid Image ;   Gang Chen1, 2 Author Orcid Image ;   Kang Li4, 5, 6 Author Orcid Image ;   Jian Li1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  2. Yang X, Li T, Su Q, Liu Y, Kang C, Lyu Y, Zhao L, Nie Y, Pan Y. Application of large language models in disease diagnosis and treatment. Chinese Medical Journal 2025;138(2):130 View
  3. Liu S, McCoy A, Wright A. Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines. Journal of the American Medical Informatics Association 2025 View
  4. Al Zo’ubi M. Review of 2024 publications on the applications of artificial intelligence in rheumatology. Clinical Rheumatology 2025 View