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

Digital Health Reviews (1883) Clinical Informatics (1506) Machine Learning (2319) Generative Language Models Including ChatGPT (895) AI Language Models in Health Care (293) Foundation Models and Their Applications in AI (68)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70315, first published .
Doctor examining medical data on a futuristic touchscreen with a magnifying glass.

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

Authors of this article:

Florian Leiser1 Author Orcid Image ;   Richard Guse1 Author Orcid Image ;   Ali Sunyaev2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Liu J, Liu F, Wang C, Liu S. Prompt Engineering in Clinical Practice: Tutorial for Clinicians. Journal of Medical Internet Research 2025;27:e72644 View
  2. Jiang A, Ray T, Suri A, Menard A, Kellogg R, Chatterjee A, Koenig M, Esaki R, Hui F, Vargas J. Large language model responses to patient-oriented neurointerventional queries: A multirater assessment of accuracy, completeness, safety, and actionability. Interventional Neuroradiology 2025 View
  3. Cardoso-Teixeira P, Alves Ambrósio J, Garcia M, Chibante-Pedro J, Figueiredo L. Comparative Performance of Large Language Models in Ophthalmology Referral Triage. Cureus 2026 View
  4. 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

Books/Policy Documents

  1. Farhadi A, Mozayani N. Explainable Large Language Models in Healthcare Applications. View