Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study
We developed an LLM that leverages clinical text and NCCT to identify strokes and guide recanalization therapy. While our results necessitate validation through widespread deployment, they hold the potential to enhance stroke identification and reduce reperfusion time.
Authors
- Jiayi Wang
- Jian Wu (ORCID: https://orcid.org/0000-0002-0943-314X)
- Weizhi Ma (ORCID: https://orcid.org/0000-0001-5604-7527)
- Xiaowei Song (ORCID: https://orcid.org/0000-0001-7707-7995)
- Wei Hsian Yin
- Feifei He
Institutions
- Harbin Institute of Technology (CN)
- Beijing Geriatric Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-02-26
- DOI
- https://doi.org/10.2196/67010
- Citations
- 11
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 14.90