Machine learning-based models in prediction of the radiological outcomes of vestibular schwannoma following stereotactic radiosurgery: a systematic review and meta-analysis.
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| Title: | Machine learning-based models in prediction of the radiological outcomes of vestibular schwannoma following stereotactic radiosurgery: a systematic review and meta-analysis. |
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| Authors: | Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. bardii47@yahoo.com., Nazari MA; Student Research Committee, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Taghipour P; Faculty of Medicine, Mersin University, Mersin, Türkiye, Turkey., Alaei SA; School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran., Khalaji A; Department of Medicine, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA., Hashemi R; Department of Neurosurgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mohammadzadeh I; Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tos SM; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. salem.m.97@hotmail.com. |
| Source: | BMC neurology [BMC Neurol] 2025 Sep 26; Vol. 25 (1), pp. 385. Date of Electronic Publication: 2025 Sep 26. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968555 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2377 (Electronic) Linking ISSN: 14712377 NLM ISO Abbreviation: BMC Neurol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2377 |
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| DOI: | 10.1186/s12883-025-04093-9 |
