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

Digital Health Reviews (1883) Ethics, Privacy, and Legal Issues (687) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (727) Electronic Health Records (1427) Generative Language Models Including ChatGPT (895) AI Language Models in Health Care (293) Ethical, Legal, and Social Issues in AI (137)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76571, first published .
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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

Authors of this article:

Xiaoying Zhong1, 2 Author Orcid Image ;   Siyi Li1, 2 Author Orcid Image ;   Zhao Chen3 Author Orcid Image ;   Long Ge4, 5, 6 Author Orcid Image ;   Dongdong Yu7 Author Orcid Image ;   Shijia Wang1, 2 Author Orcid Image ;   Liangzhen You1, 2 Author Orcid Image ;   Hongcai Shang2, 8
Article Authors Cited by (12) Tweetations (2) Metrics

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
  7. Zhang Q, Ren Y, Qin S, Zhang X, Zhang L, Huang J, Liu Z, Liu C, Feng H, Chen J, Ding Y, You W, Jiang H, Pan Y, Zhou Y, Chen J, Chen L, Liu W, Liu T, Zhao Z, Zhang L. Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support. Meta-Radiology 2026:100223 View
  8. Aroua R, Kammoun I, Louati M, Adjeroh D, Duan T. Recent advances in defending the privacy attacks of large language models for healthcare applications: a concise review. Frontiers in Artificial Intelligence 2026;9 View
  9. Chong A, Lim C, Kim D, Yun M, Bom H, Lee S. Use of Generative Artificial Intelligence in Nuclear Medicine Research, Education, and Clinical Practice: Results from a 2025 Society-Wide Survey. Nuclear Medicine and Molecular Imaging 2026 View
  10. Kenea C, Bonnechère B. AI-Enhanced Extended Reality for Rehabilitation in Africa: A Perspective on Explainable Agents, Co-Creation, and Generative Worlds. Applied Sciences 2026;16(10):4946 View
  11. Vijayasimha M, Srikanth M. Commentary on "Evaluating large language models for surgical chart review of second stage implant-based breast reconstruction: a comparative analysis of manual review, GPT-3.5 Turbo, and GPT-4 Turbo" by Lakhlani, D., Dadhania, D. & Nazerali, R.. European Journal of Plastic Surgery 2026;49(1) View

Books/Policy Documents

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