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Improved Turnaround Times | Median time to first decision: 12 days

Research ArticleAdult Brain

Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center

A. Yahav-Dovrat, M. Saban, G. Merhav, I. Lankri, E. Abergel, A. Eran, D. Tanne, R.G. Nogueira and R. Sivan-Hoffmann
American Journal of Neuroradiology December 2020, DOI: https://doi.org/10.3174/ajnr.A6923
A. Yahav-Dovrat
aFrom the Department of Radiology (A.Y.-D., G.M., A.E., R.S.-H.)
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  • ORCID record for A. Yahav-Dovrat
M. Saban
dFaculty of Social health and Welfare (M.S.), Haifa University, Haifa, Israel
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G. Merhav
aFrom the Department of Radiology (A.Y.-D., G.M., A.E., R.S.-H.)
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I. Lankri
eFaculty of Medicine (I.L.), Technion Israel institute of Technology, Haifa, Israel
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E. Abergel
bUnit of Interventional Neuroradiology (E.A., R.S.-H.)
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A. Eran
aFrom the Department of Radiology (A.Y.-D., G.M., A.E., R.S.-H.)
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D. Tanne
cStroke and Cognition Institute (D.T.), Rambam Health Care Campus, Haifa, Israel
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R.G. Nogueira
fNeuroendovascular Service (R.G.N.), Marcus Stroke and Neuroscience Center Grady Memorial Hospital, Atlanta, Georgia
gDepartments of Neurology, Neurosurgery, and Radiology (R.G.N.), Emory University School of Medicine, Atlanta, Georgia
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R. Sivan-Hoffmann
aFrom the Department of Radiology (A.Y.-D., G.M., A.E., R.S.-H.)
bUnit of Interventional Neuroradiology (E.A., R.S.-H.)
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A6923
PubMed 
33384294

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received April 13, 2020
  • Accepted after revision September 13, 2020
  • Published online December 31, 2020.

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  • You are currently viewing a Latest version of this article (December 31, 2020 - 06:58).
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© 2021 by American Journal of Neuroradiology

Author Information

  1. A. Yahav-Dovrata,
  2. M. Saband,
  3. G. Merhava,
  4. I. Lankrie,
  5. E. Abergelb,
  6. A. Erana,
  7. D. Tannec,
  8. R.G. Nogueiraf,g and
  9. R. Sivan-Hoffmanna,b
  1. aFrom the Department of Radiology (A.Y.-D., G.M., A.E., R.S.-H.)
  2. bUnit of Interventional Neuroradiology (E.A., R.S.-H.)
  3. cStroke and Cognition Institute (D.T.), Rambam Health Care Campus, Haifa, Israel
  4. dFaculty of Social health and Welfare (M.S.), Haifa University, Haifa, Israel
  5. eFaculty of Medicine (I.L.), Technion Israel institute of Technology, Haifa, Israel
  6. fNeuroendovascular Service (R.G.N.), Marcus Stroke and Neuroscience Center Grady Memorial Hospital, Atlanta, Georgia
  7. gDepartments of Neurology, Neurosurgery, and Radiology (R.G.N.), Emory University School of Medicine, Atlanta, Georgia
  1. Please address correspondence to Rotem Sivan-Hoffmann, MD, Rambam Health Care Campus, HaAliya HaShniya St 8, Haifa, Israel. 3109601; e-mail: otemsivan3{at}gmail.com
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Cite this article
A. Yahav-Dovrat, M. Saban, G. Merhav, I. Lankri, E. Abergel, A. Eran, D. Tanne, R.G. Nogueira, R. Sivan-Hoffmann
Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
American Journal of Neuroradiology Dec 2020, DOI: 10.3174/ajnr.A6923

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Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
A. Yahav-Dovrat, M. Saban, G. Merhav, I. Lankri, E. Abergel, A. Eran, D. Tanne, R.G. Nogueira, R. Sivan-Hoffmann
American Journal of Neuroradiology Dec 2020, DOI: 10.3174/ajnr.A6923
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  • Correspondence on: 'Viz LVO versus Rapid LVO in detection of large vessel occlusion on CT angiography for acute stroke by Delora et al
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