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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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  Data: Artificial intelligence-assisted detection of challenging ischemic stroke on diffusion-weighted imaging: a reader study.
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  Data: <searchLink fieldCode="AU" term="%22Jeong+Y%22">Jeong Y</searchLink>; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+WS%22">Ryu WS</searchLink>; Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+BJ%22">Kim BJ</searchLink>; Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+BS%22">Choi BS</searchLink>; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JH%22">Kim JH</searchLink>; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sunwoo+L%22">Sunwoo L</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101546899%22">Frontiers in neurology</searchLink> [Front Neurol] 2026 May 21; Vol. 17, pp. 1766199. <i>Date of Electronic Publication: </i>2026 May 21 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101546899 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2295 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642295%22">16642295 </searchLink><i>NLM ISO Abbreviation: </i>Front Neurol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fneur.2026.1766199
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