Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis.

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Bibliographic Details
Title: Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis.
Authors: Zhong J; The First Clinical Medical College of Gannan Medical University, Ganzhou, 341000, Jiangxi, China., Jiang Y; Shenzhen University, Shenzhen, 518000, Guandong, China., Huang Q; JiangXi University of Science and Technology, Ganzhou, 341000, Jiangxi, China., Yang S; Neurosurgery Department of the First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China. yangshch680709@hotmail.com.
Source: Neurosurgical review [Neurosurg Rev] 2024 Nov 12; Vol. 47 (1), pp. 845. Date of Electronic Publication: 2024 Nov 12.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1437-2320
DOI:10.1007/s10143-024-03086-5