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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76571, first published .
Considerations for Patient Privacy of Large Language Models in Health Care: Scoping Review

Considerations for Patient Privacy of Large Language Models in Health Care: Scoping Review

Considerations for Patient Privacy of Large Language Models in Health Care: Scoping Review

Journals

  1. Aydogan H, Yaşar Teke H, Sevindik M, Öztürk Z. Inferential performance and temporal stability of large language models in suicide method prediction: A forensic psychiatric analysis. Health Informatics Journal 2026;32(1) View
  2. Mine Y, Taji T, Takeda S, Okazaki S, Peng T, Kakimoto N, Murayama T. Assessing multimodal large language models for localizing dental implant fixtures on panoramic radiographs. Journal of Dentistry 2026;168:106580 View
  3. O’Malley L, Halley A, Willms A, Edwards I, Liu S. Creating customized chatbots with ChatGPT to promote physical activity: a mini review. Frontiers in Digital Health 2026;8 View
  4. Vijayasimha M, Srikanth M, Singh M. From promise to proof: making multimodal LLMs in reproductive psychiatry audit-ready, privacy-verifiable, and globally deployable. Archives of Women's Mental Health 2026;29(3) View
  5. Xiao H, Hui N, Xu Y, Li Z, Peng J. Medical multimodal large language models: A survey. Information Fusion 2026;134:104386 View
  6. Obaid O. SCALPEL: A Framework for Surgical Artificial Intelligence Prompting. Journal of Craniofacial Surgery 2026 View

Books/Policy Documents

  1. Kim H, Kim H. Body Mass Index in Clinical Practice [Working Title]. View