Performance of Machine Learning Models in Predicting BRAF Alterations Using Imaging Data in Low-Grade Glioma: A Systematic Review and Meta-Analysis.

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Bibliographic Details
Title: Performance of Machine Learning Models in Predicting BRAF Alterations Using Imaging Data in Low-Grade Glioma: A Systematic Review and Meta-Analysis.
Authors: Firouzabadi SR; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tavanaei R; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mohammadi I; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Alikhani A; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Ansari A; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran., Akhlaghpasand M; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA., Yong RL; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, New York, USA., Margetis K; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, New York, USA. Electronic address: konstantinos.margetis@mountsinai.org.
Source: World neurosurgery [World Neurosurg] 2025 Mar; Vol. 195, pp. 123742. Date of Electronic Publication: 2025 Feb 25.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101528275 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-8769 (Electronic) Linking ISSN: 18788750 NLM ISO Abbreviation: World Neurosurg Subsets: MEDLINE
Database: MEDLINE Ultimate
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