Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients.

Journal Information

Full Title: Acta Neurochir (Wien)

Abbreviation: Acta Neurochir (Wien)

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurosurgery

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
Transparency Indicators
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Core Indicators
Evidence found in paper:

"data availability the dataset is publicly available and can be accessed at https://github com/csfshuntvalves/xray_csf_shuntvalves ."

Evidence found in paper:

"data availability the dataset is publicly available and can be accessed at https://github com/csfshuntvalves/xray_csf_shuntvalves ."

Evidence found in paper:

"Declarations Ethics approvalThe study adhered to all relevant ethical regulations of the University Hospital Bern, and formal ethical approval was not required according to local regulations and guidelines as it involved the use of anonymized and de-identified data collected as part of routine clinical practice. Consent to participate and consent for publicationFor this type of study, obtaining informed consent from the patients was not required. The data collection and analysis were conducted in compliance with relevant data protection and privacy regulations, ensuring the protection of the patients’ rights and privacy. Conflict of interestThe authors declare no competing interests. Conflict of interest The authors declare no competing interests."

Funding Disclosure
Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025