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

Digital Health Reviews (3823) Natural Language Processing (1326) Health and Risk Communication (164) Generative Language Models Including ChatGPT (1616)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84726, first published .
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Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review

Authors of this article:

Jing Chang1 Author Orcid Image ;   Ruotong Peng2 Author Orcid Image ;   Xi Chen1 Author Orcid Image ;   Yishu Zhu1 Author Orcid Image ;   Ruting Miao3 Author Orcid Image ;   Zeng Cao4 Author Orcid Image ;   Hui Feng1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wang C, Hao J, Zhang S, Li J, Liu X, Qian Q. Large language models for patient-facing pathology report interpretation: A scoping review. International Journal of Medical Informatics 2026;222:106707 View
  2. Sun X, Liu Y, Wu X, Kong Y, Li Z, Yu G. Information quality, transparency, and readability of generative AI chatbot responses to parenting practice questions for infants and toddlers aged 0–3 years: A cross-sectional comparative study. DIGITAL HEALTH 2026;12 View