Proof-of-concept study of noninvasive, rapid, machine learning–enhanced, color-based CSF diagnostics: a novel approach to external ventricular drain infection screening
BOSoMetre shows promise as a low-cost (< €100), open-source tool for continuous CSF monitoring and early infection detection, especially for resource-limited settings. The high specificity could potentially reduce unnecessary CSF sampling and associated iatrogenic infection risks. Although the initial results are encouraging, further validation in larger cohorts is needed to confirm clinical utility and overcome the technical limitations identified in this proof-of-concept study.
Authors
- Bilal Bahadır Akbulut (ORCID: https://orcid.org/0000-0002-7983-5056)
- Barış Oğuz Gürses (ORCID: https://orcid.org/0000-0002-2755-3452)
- Taşkın Yurtseven (ORCID: https://orcid.org/0000-0001-7982-8115)
- Mustafa Serdar Bölük
- Hüseyin Biçeroğlu (ORCID: https://orcid.org/0000-0003-2306-0826)
- Semiha Özgül
Institutions
- Süleyman Demirel Üniversitesi (TR)
- State Hospital (GB)
- Ege University (TR)
- Suleyman Demirel University (KZ)
- The Ohio State University (US)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-09-20
- DOI
- https://doi.org/10.3171/2025.5.jns25628
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.00