AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

Stavros Matsoukas; Jacob Morey; Gregory Lock; Deeksha Chada; Tomoyoshi Shigematsu; Naoum Fares Marayati; Bradley N Delman; Amish Doshi; Shahram Majidi; Reade De Leacy; Christopher Paul Kellner; Johanna T Fifi

doi:10.1136/neurintsurg-2021-018391

Article info

New devices and techniques

Original research

AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

Authors

Stavros Matsoukas Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Jacob Morey Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Gregory Lock Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Deeksha Chada Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Tomoyoshi Shigematsu Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Naoum Fares Marayati Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Bradley N Delman Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Amish Doshi Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Shahram Majidi Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Reade De Leacy Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Christopher Paul Kellner Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles
Johanna T Fifi Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articles Google scholar articles

Correspondence to Dr Stavros Matsoukas, Department of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA; stavros.matsoukas{at}mountsinai.org

View Full Text

Citation

Matsoukas S, Morey J, Lock G, et al

AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

Journal of NeuroInterventional Surgery 2023;15:52-56.

Publication history

Received October 29, 2021
Accepted January 11, 2022
First published January 27, 2022.

Online issue publication

December 14, 2022

Article Versions

Previous version (14 December 2022).
You are viewing the most recent version of this article.

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Main menu

Authors

Citation

Publication history

Article Versions

Request permissions

Copyright information

Log in using your username and password

Main menu

Log in using your username and password

You are here

Authors

Citation

Publication history

Article Versions

Request permissions

Copyright information

Read the full text or download the PDF:

Log in using your username and password