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

Clinical Information and Decision Making (1928) Machine Learning (2083) Stroke (244) Computer-Aided Diagnosis (253) Generative Language Models Including ChatGPT (714) Artificial Intelligence (2144)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67010, first published .
Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study

Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study

Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study

Authors of this article:

Xiaowei Song1 Author Orcid Image ;   Jiayi Wang2 Author Orcid Image ;   Feifei He3 Author Orcid Image ;   Wei Yin4 Author Orcid Image ;   Weizhi Ma5 Author Orcid Image ;   Jian Wu1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Niel O, Dookhun D, Caliment A. Performance evaluation of large language models in pediatric nephrology clinical decision support: a comprehensive assessment. Pediatric Nephrology 2025;40(10):3211 View
  2. Owens D, Nguyen D, Dohopolski M, Rousseau J, Peterson E, Navar A. Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data. Stroke 2025;56(10):2966 View
  3. Qiang S, Zhang H, Liao Y, Zhang Y, Gu Y, Wang Y, Xu Z, Shi H, Han N, Yu H. Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study. Journal of Medical Internet Research 2025;27:e73226 View
  4. Guzik A, Fraser J, Southerland A, Vagal A, Tsai J, Dumitrascu O, Nystrom K, Martinez Johnson M, Hess D, Jayaraman M. Creating Virtual Stroke Networks: Current and Future Role of Artificial Intelligence, Mobile Imaging Applications, and Telehealth in Triage and Treatment of Acute Ischemic Stroke: A Scientific Statement From the American Heart Association. Stroke 2025 View
  5. Chang E, Xie K, Ellis C. Transformer Language Models for Neurology Research with Electronic Health Records: Current State of the Science. Seminars in Neurology 2025 View
  6. Muchada M, Rizzo F, Brunelli N, Molina C. Balancing Innovation and Responsibility: Ethical and Privacy Challenges in Stroke Digital Health. Stroke 2025 View

Conference Proceedings

  1. Alhakeem Z, Dawood S, Homod R, Mohammed H. 2025 IEEE International Symposium on Future Telecommunication Technologies (SOFTT). Design and Execution of an Application for Early-Stage Stroke Prediction Using Ensemble Learners View