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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study.

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Title: Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study.
Authors: Rahman M; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564., Gao J; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Carey KA; Department of Medicine, University of Chicago, Chicago, IL, United States., Edelson DP; Department of Medicine, University of Chicago, Chicago, IL, United States., Afshar A; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564., Garrett JW; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.; Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States., Chen G; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Afshar M; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Churpek MM; Department of Medicine, University of Wisconsin-Madison, 610 Walnut St, Madison, WI, 53792, United States, 1 608-262-9564.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.
Source: JMIR AI [JMIR AI] 2025 Apr 10; Vol. 4, pp. e67144. Date of Electronic Publication: 2025 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918645789006676 Publication Model: Electronic Cited Medium: Internet ISSN: 2817-1705 (Electronic) Linking ISSN: 28171705 NLM ISO Abbreviation: JMIR AI Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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