Artificial intelligence-assisted detection of challenging ischemic stroke on diffusion-weighted imaging: a reader study.

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Title: Artificial intelligence-assisted detection of challenging ischemic stroke on diffusion-weighted imaging: a reader study.
Authors: Jeong Y; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea., Ryu WS; Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea., Kim BJ; Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea., Choi BS; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea., Kim JH; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea., Sunwoo L; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.; Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Source: Frontiers in neurology [Front Neurol] 2026 May 21; Vol. 17, pp. 1766199. Date of Electronic Publication: 2026 May 21 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-2295
DOI:10.3389/fneur.2026.1766199