RAPID CTA versus JLK LVO for large vessel occlusion detection: a pragmatic comparison of performance and common pitfalls

Neuroradiology. 2026 Mar 10. doi: 10.1007/s00234-026-03921-0. Online ahead of print.

¹ Department of Neurology, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
² Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
³ Department of Neurology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
⁴ Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
⁵ Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, US.
⁶ Medical University of South Carolina, Charleston, SC, US.
⁷ Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea. leonard.sunwoo@snu.ac.kr.
⁸ Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. leonard.sunwoo@snu.ac.kr.

No abstract available

Keywords: Acute ischemic stroke; Automated software; Computed tomography angiography; Deep learning; Large vessel occlusion.