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Peer-Reviewed Publication
J Clin Med2025;14(13)June 30, 2025Journal Article

Using a Deep Learning-Based Decision Support System to Predict Emergent Large Vessel Occlusion Using Non-Contrast Computed Tomography.

Seong-Joon Lee1, Dohyun Kim2, Dae Han Choi3, Yong Su Lim4, Gyuha Park2, Sumin Jung2, Soohwa Song2, Ji Man Hong1, Dong Hoon Shin2,5, Myeong Jin Kim3, Jin Soo Lee1
1Department of Neurology, Ajou University School of Medicine, 164 World Cup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea.
2Research Division, Heuron Co., Ltd., 10F, C, 150 Yeongdeungpo-ro, Yeongdeungpo-gu, Seoul 07282, Republic of Korea.
3Department of Neurosurgery, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.
4Department of Emergency Medicine, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.
5Department of Neurology, Gachon University College of Medicine, 38-13 Dokjeom-ro 3 Beon-gil, Namdong-gu, Incheon 21565, Republic of Korea.
PubMed PMC DOI PDF

Abstract

Background: This retrospective, multi-reader, blinded, pivotal trial assessed the performance of artificial intelligence (AI)-based clinical decision support system used to improve the clinician detection of emergent large vessel occlusion (ELVO) using brain non-contrast computed tomography (NCCT) images. Methods: We enrolled 477 patients, of which 112 had anterior circulation ELVO, and 365 served…

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