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Peer-Reviewed Publication
J Neurointerv Surg2026June 2, 2026Journal Article

AI assisted detection of large vessel occlusion on non-contrast CT: multinational validation and reader study.

Leonard Sunwoo1, Wi-Sun Ryu2, Karen Buch3, John Conklin3, William Mehan3, Matthew Nicholas Desalvo4, Erik Loken4, Sandra Rincon3, Tatiana Rocha4, Marc Succi3, Myungjae Lee2, Dongmin Kim2, Nak-Hoon Kim5, Jung-Hoon Han6, Kyubong Lee6, Younbeom Jeong1, Hyesu Yun6, Gwanhu Kim1, Byeongcheon Lee5, Yoona Ko5, Cheolho Kwon1, Roh-Eul Yoo7, Philip Gorelick8, Hee-Joon Bae5, Chi Kyung Kim9, Beom Joon Kim10
1Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea (the Republic of).
2Artificial Intelligence Research Center, JLK, Seoul, Korea (the Republic of).
3Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
4Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
5Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea (the Republic of).
6Department of Neurology, Korea University Guro Hospital, Seoul, Korea (the Republic of).
7Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea (the Republic of).
8Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
9Department of Neurology, Korea University Guro Hospital, Seoul, Korea (the Republic of) kim.bj.stroke@gmail.com ckkim7@korea.ac.kr.
10Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea (the Republic of) kim.bj.stroke@gmail.com ckkim7@korea.ac.kr.

Abstract

OBJECTIVE: Early detection of large vessel occlusion (LVO) on non-contrast CT (NCCT) could accelerate stroke triage, but NCCT based artificial intelligence (AI) algorithms lack multinational validation and evidence of impact on clinician performance. We aimed to validate a machine learning based LVO detection algorithm across multinational cohorts and evaluate its impact on clinicians' diagnostic…

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