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

Generative Language Models Including ChatGPT (799) AI Language Models in Health Care (241) Machine Learning (2221) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (103)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70733, first published .
Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study

Authors of this article:

Dongmei Tan1 Author Orcid Image ;   Yi Huang1 Author Orcid Image ;   Ming Liu1 Author Orcid Image ;   Ziyu Li2 Author Orcid Image ;   Xiaoqian Wu3 Author Orcid Image ;   Cheng Huang1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Liu S, Su L, He Q, Qiu M, Liang R. Comparative evaluation of ChatGPT and Gemini in brain-computer interfaces patient education: A multi-dimensional analysis of reliability, accuracy, comprehensibility, and readability. International Journal of Medical Informatics 2026;206:106164 View
  2. Chen R, Wu M, Tsai L, Chang S, Shen Hsiao S, Lo Y. Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study. Journal of Medical Internet Research 2026;28:e81604 View