Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis

Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis

IntroductionMachine learning (ML) methods are being increasingly applied to prognostic prediction for stroke patients with large vessel occlusion (LVO) treated with endovascular thrombectomy. This systematic review aims to summarize ML-based pre-thrombectomy prognostic models for LVO stroke and iden...

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Bibliographic Details
Main Authors: Minyan Zeng, Lauren Oakden-Rayner, Alix Bird, Luke Smith, Zimu Wu, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Mark Jenkinson, Lyle J. Palmer
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neurology
Subjects:
ischemic stroke
large vessel occlusion
endovascular thrombectomy
prognostic prediction
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.945813/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.945813/full

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