Machine learning-based models in prediction of the radiological outcomes of vestibular schwannoma following stereotactic radiosurgery: a systematic review and meta-analysis

Abstract Background Prediction of the radiological outcomes of the vestibular schwannomas (VSs) following stereotactic radiosurgery (SRS) is critical in the management of these lesions. Predictions of tumor control can optimize therapeutic strategies and enhance treatment outcomes. Significant advan...

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Bibliografiska uppgifter

Huvudupphov:	Bardia Hajikarimloo, Mohammad Ali Nazari, Mohammad Amin Habibi, Pourya Taghipour, Seyyed-Ali Alaei, Amirreza Khalaji, Rana Hashemi, Ibrahim Mohammadzadeh, Salem M. Tos
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	BMC 2025-09-01
Serie:	BMC Neurology
Ämnen:	Machine learning Vestibular schwannoma Radiosurgery Stereotactic radiosurgery
Länkar:	https://doi.org/10.1186/s12883-025-04093-9
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