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Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.

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Title: Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.
Authors: Kim J; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Oh SW; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. oasis1979@gmail.com., Lee HY; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Lee SW; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea., Hwang S; Department of Radiology, Ilsan Paik Hospital, Inje University, Goyang, Korea., Meyer H; Siemens Healthineers AG, Erlangen, Germany., Huwer S; Siemens Healthineers AG, Erlangen, Germany., Zhao G; Siemens Medical Solutions USA, Inc., Princeton, NJ, USA., Gibson E; Siemens Medical Solutions USA, Inc., Princeton, NJ, USA., Han D; Siemens Healthineers Ltd., Seoul, Korea.
Source: European radiology [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2674-2686. Date of Electronic Publication: 2025 Nov 17.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.
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  Data: <searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Oh+SW%22">Oh SW</searchLink>; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. oasis1979@gmail.com.<br /><searchLink fieldCode="AU" term="%22Lee+HY%22">Lee HY</searchLink>; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SW%22">Lee SW</searchLink>; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Hwang+S%22">Hwang S</searchLink>; Department of Radiology, Ilsan Paik Hospital, Inje University, Goyang, Korea.<br /><searchLink fieldCode="AU" term="%22Meyer+H%22">Meyer H</searchLink>; Siemens Healthineers AG, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Huwer+S%22">Huwer S</searchLink>; Siemens Healthineers AG, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Zhao+G%22">Zhao G</searchLink>; Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Gibson+E%22">Gibson E</searchLink>; Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Han+D%22">Han D</searchLink>; Siemens Healthineers Ltd., Seoul, Korea.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2674-2686. <i>Date of Electronic Publication: </i>2025 Nov 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-025-12137-4
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        Text: English
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        StartPage: 2674
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      – TitleFull: Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.
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              Text: 2026 Apr
              Type: published
              Y: 2026
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