End to end stroke triage using cerebrovascular morphology and machine learning

End to end stroke triage using cerebrovascular morphology and machine learning

BackgroundRapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy that governs cerebral blood flow. We present an en...

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Bibliographic Details
Main Authors: Aditi Deshpande, Jordan Elliott, Bin Jiang, Pouya Tahsili-Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Neurology
Subjects:
stroke
CNN—convolutional neural network
stroke outcome
collateral circulation
segmentation (image processing)
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1217796/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1217796/full

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