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

Journal: JMIR medical informatics
Published Date: Aug 7, 2025

Abstract

BACKGROUND: Stroke has a major impact on global health, causing long-term disability and straining health care resources. Generative large language models (gLLMs) have emerged as promising tools to help address these challenges, but their applications and reported performance in stroke care require comprehensive mapping and synthesis.

Authors

  • XingCe Zhu
    School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wei Dai
    Department of Intensive Care Unit, The First Affiliated Hospital of Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Richard Evans
    DeepMind, London, UK.
  • Xueyu Geng
    School of Engineering, University of Warwick, Coventry, UK. Electronic address: Xueyu.Geng@warwick.ac.uk.
  • Aruhan Mu
    School of Ethnology and Sociology, Inner Mongolia University, Hohhot, China.
  • Zhiyong Liu
    State Key Laboratory of Respiratory Disease , Guangzhou Institutes of Biomedicine and Health (GIBH) , Chinese Academy of Sciences (CAS) , Guangzhou-510530 , China . Email: zhang_tianyu@gibh.ac.cn ; ; Tel: (+86)20 3201 5270.

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