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

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Bibliographic Details
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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