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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Bibliografski detalji

Glavni autori:	Bardia Hajikarimloo, Mohammad Ali Nazari, Mohammad Amin Habibi, Pourya Taghipour, Seyyed-Ali Alaei, Amirreza Khalaji, Rana Hashemi, Ibrahim Mohammadzadeh, Salem M. Tos
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-09-01
Serija:	BMC Neurology
Teme:	Machine learning Vestibular schwannoma Radiosurgery Stereotactic radiosurgery
Online pristup:	https://doi.org/10.1186/s12883-025-04093-9
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