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October 8, 2019Journal of NeuroInterventional Surgery

Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review

Nick M. Murray Mathias Unberath Gregory D. Hager Ferdinand Hui

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Abstract

AI may improve LVO stroke detection and rapid triage necessary for expedited treatment. Standardization of performance assessment is needed in future studies.

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Cite This Study

Murray et al. (2019) studied this question.

synapsesocial.com/papers/69d6b4e9f174babf6cab32aa https://doi.org/10.1136/neurintsurg-2019-015135

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Pre-hospital detection of acute ischemic stroke secondary to emergent large vessel occlusion: lessons learned from electrocardiogram and acute myocardial infarctionreview · 2018 · 15 citations
2Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion ImagingClinical Trial · 2018 · 4,940 citations
3Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and InfarctRandomized Controlled Trial · 2017 · 5,635 citations
4Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trialsmeta-analysis · 2016 · 7,862 citations
5Analysis of Workflow and Time to Treatment and the Effects on Outcome in Endovascular Treatment of Acute Ischemic Stroke: Results from the SWIFT PRIME Randomized Controlled TrialRCT · 2016 · 280 citations

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e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients2016

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