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Original research
Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care

Authors

  • Lucas Elijovich Department of Neurology, University of Tennessee Health Sciences Center, Memphis, TN, USADepartment of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • David Dornbos III Department of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • Christopher Nickele Department of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • Andrei Alexandrov Department of Neurology, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • Violiza Inoa-Acosta Department of Neurology, University of Tennessee Health Sciences Center, Memphis, TN, USADepartment of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • Adam S Arthur Department of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  • Daniel Hoit Department of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, TN, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Lucas Elijovich, Semmes-Murphey Neurologic and Spine Institute, Memphis, TN 38120, USA; lelijovich{at}semmes-murphey.com
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Citation

Elijovich L, Dornbos III D, Nickele C, et al
Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care

Publication history

  • Received April 28, 2021
  • Accepted July 17, 2021
  • First published August 20, 2021.

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