Automated detection of intracranial large vessel occlusions using Viz.ai software: Experience in a large, integrated stroke network-Reference-Cited by-同舟云学术

Automated detection of intracranial large vessel occlusions using Viz.ai software: Experience in a large, integrated stroke network

Published:2022-12 Issue:1 Volume:13 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain and Behavior

Author:

Karamchandani Rahul R.¹^ORCID,Helms Anna Maria²,Satyanarayana Sagar³,Yang Hongmei³,Clemente Jonathan D.⁴,Defilipp Gary⁴,Strong Dale³,Rhoten Jeremy B.²,Asimos Andrew W.⁵^ORCID

Affiliation:

1. Neurology, Neurosciences Institute Atrium Health Charlotte North Carolina USA

2. Neurosciences Institute Atrium Health Charlotte North Carolina USA

3. Information and Analytics Services Atrium Health Charlotte North Carolina USA

4. Charlotte Radiology, Neurosciences Institute Atrium Health Charlotte North Carolina USA

5. Emergency Medicine, Neurosciences Institute Atrium Health Charlotte North Carolina USA

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.2808

Reference17 articles.

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4. Detection of emergent large vessel occlusion stroke with CT angiography is high across all levels of radiology training and grayscale viewing methods

5. Mechanical thrombectomy for acute ischemic stroke with occlusion of the M2 segment of the middle cerebral artery: A literature review

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