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Fast and reliable machine learning-based detection of postoperative intracranial infections in brain tumor patients: a diagnostic study using routine CSF parameters

Crossref DOI link: https://doi.org/10.1186/s12935-026-04242-1

Published Online: 2026-02-28

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

Authors

Ding, Shanshan

Dong, Xiaohan

Zhou, Weicheng

Xing, Jialiang

Ye, Xiaoyu

Song, Xingguo
Funding

Funding for this research was provided by:

ollaborative Academic Innovation Project of Shandong Cancer Hospital (TS-010)

Taishan Youth Scholar Program of Shandong Province (tsqn202312366)

Shandong Natural Science Foundation Innovation and Development Joint Fund (ZR2023LZL011)

Shandong Traditional Chinese Medicine Technology Project (M2023-013)
License Information

Text and Data Mining valid from 2026-02-28

Version of Record valid from 2026-04-07
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Article History

Received: 8 October 2025

Accepted: 20 February 2026

First Online: 28 February 2026

Declarations

:

: This study was approved by the Ethics Committee of Shandong Cancer Hospital Affiliated to Shandong First Medical University and Shandong Academy of Medical Sciences and conducted in accordance with the local legislation and institutional requirements. Informed consent was formally waived due to the irreversibly anonymized nature of the retrospective data analysis, and all patient information was kept confidential.

: The authors declare no competing interests.

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