Proof-of-concept study of noninvasive, rapid, machine learning-enhanced, color-based CSF diagnostics: a novel approach to external ventricular drain infection screening.
- DOI
- 10.3171/2025.5.jns25628
- Published
- 2026 Jan 1
- Container
- Journal of neurosurgery
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3171/2025.5.jns25628,
title = {Proof-of-concept study of noninvasive, rapid, machine learning-enhanced, color-based CSF diagnostics: a novel approach to external ventricular drain infection screening.},
author = {Akbulut BB and Gürses BO and Özgül S and Bölük MS and Yurtseven T and Biçeroğlu H},
year = {2026},
journal = {Journal of neurosurgery},
doi = {10.3171/2025.5.jns25628},
url = {https://doi.org/10.3171/2025.5.jns25628}
}RIS
TY - JOUR TI - Proof-of-concept study of noninvasive, rapid, machine learning-enhanced, color-based CSF diagnostics: a novel approach to external ventricular drain infection screening. AU - Akbulut BB AU - Gürses BO AU - Özgül S AU - Bölük MS AU - Yurtseven T AU - Biçeroğlu H PY - 2026 JO - Journal of neurosurgery DO - 10.3171/2025.5.jns25628 UR - https://doi.org/10.3171/2025.5.jns25628 ER -
APA
BB, A., BO, G., S, Ö., MS, B., T, Y., & H, B. (2026). Proof-of-concept study of noninvasive, rapid, machine learning-enhanced, color-based CSF diagnostics: a novel approach to external ventricular drain infection screening.. Journal of neurosurgery. https://doi.org/10.3171/2025.5.jns25628
Source records
- pubmed · retrieved 2026-09-26T06:25:47.750Z