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

Reviews in Medical Informatics (481) Stroke (317) Artificial Intelligence (4744) Generative Language Models Including ChatGPT (1503) AI Language Models in Health Care (739)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76636, first published .
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Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review

Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review

Authors of this article:

XingCe Zhu1 Author Orcid Image ;   Wei Dai1 Author Orcid Image ;   Richard Evans2 Author Orcid Image ;   Xueyu Geng3 Author Orcid Image ;   Aruhan Mu4 Author Orcid Image ;   Zhiyong Liu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Luo X, Liu Y, Ma Y, Li C, Yao M, Xiang H, Qin X, Liu J, Zhan X, Zhang C, Zang S, Deng K, Li L, Sun X. A Large Language Model Pipeline for Stroke Staging Using Electronical Medical Records. Journal of Evidence-Based Medicine 2026;19(2) View
  2. Almulla A, Alduais A, Almulla M. Generative Artificial Intelligence and Large Language Models in Rehabilitation and Disability Services: A Scoping Review. Journal of Disability Research 2026;5(3) View