Deep learning-assisted prediction of hydrocephalus in preoperative-subarachnoid hemorrhage: a multi-center study
DeepSH significantly outperforms conventional methods and expert assessment in predicting SAH-associated delayed hydrocephalus (SAH-H) from NCCT images, providing a valuable tool for early clinical decision-making that can improve patient prognosis.
Authors
- Guijun Wang (ORCID: https://orcid.org/0000-0001-8566-1470)
- Wenrui Han (ORCID: https://orcid.org/0000-0001-6869-3403)
- Zhongyang Zhang
- Jianming Liao
- Chengli Liu
- Cheng Yang
- Qi Tian
Institutions
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2026-02-13
- DOI
- https://doi.org/10.21037/qims-2025-994
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00