Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER.

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Title: Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER.
Authors: Kim J; Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea., Oh SW; Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea. Electronic address: oasis1979@gmail.com., Lee HY; Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea., Choi MH; Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea., Meyer H; Siemens Healthineers AG, Erlangen 91052, Germany., Huwer S; Siemens Healthineers AG, Erlangen 91052, Germany., Zhao G; Siemens Medical Solutions USA, Inc., Princeton, NJ 08540., Gibson E; Siemens Medical Solutions USA, Inc., Princeton, NJ 08540., Han D; Siemens Healthineers Ltd., Seoul 03737, Korea.
Source: Academic radiology [Acad Radiol] 2024 Nov; Vol. 31 (11), pp. 4621-4628. Date of Electronic Publication: 2024 Jun 21.
Publication Type: Journal Article
Journal Info: Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4046 (Electronic) Linking ISSN: 10766332 NLM ISO Abbreviation: Acad Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-4046
DOI:10.1016/j.acra.2024.04.046