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A multimodal machine-learning model incorporating peripheral blood inflammatory markers, cerebrospinal fluid profiles, and preoperative CT parameters to predict chronic hydrocephalus following aneurysmal subarachnoid hemorrhage

Crossref DOI link: https://doi.org/10.1186/s40001-026-04831-w

Published Online: 2026-07-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xiao, Yunchong

Zhou, Weichong

Shi, Hui

Liao, Xingfu

Yu, Xilu

Liu, anyi

Chen, Long

Su, Hai
Funding

Funding for this research was provided by:

the In-house Research Project of Yongchuan Hospital of Chongqing Medical University (YJJL2025037)

Yongchuan District Technology Innovation and Application Development Special Project (2025-yc-cxfz10018)
License Information

Text and Data Mining valid from 2026-07-08

Accepted Manuscript valid from 2026-07-08
More Information

Article History

Received: 1 February 2026

Accepted: 23 June 2026

First Online: 8 July 2026

Declarations

:

: The authors declare no competing interests.

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