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Artificial Intelligence and Deep Learning for Rheumatologists.

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Title: Artificial Intelligence and Deep Learning for Rheumatologists.
Authors: McMaster C; Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Victoria, Melbourne, Australia, and Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne, Victoria, Melbourne, Australia., Bird A; Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia., Liew DFL; Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Department of Clinical Pharmacology and Therapeutics, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia., Buchanan RR; Department of Rheumatology, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia., Owen CE; Department of Rheumatology, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia., Chapman WW; Centre for Digital Transformation of Health, University of Melbourne, Victoria, Melbourne, Australia., Pires DEV; Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne, Victoria, Melbourne, Australia.
Source: Arthritis & rheumatology (Hoboken, N.J.) [Arthritis Rheumatol] 2022 Dec; Vol. 74 (12), pp. 1893-1905. Date of Electronic Publication: 2022 Oct 26.
Publication Type: Journal Article; Review
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101623795 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2326-5205 (Electronic) Linking ISSN: 23265191 NLM ISO Abbreviation: Arthritis Rheumatol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22McMaster+C%22">McMaster C</searchLink>; Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Victoria, Melbourne, Australia, and Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne, Victoria, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Bird+A%22">Bird A</searchLink>; Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia.<br /><searchLink fieldCode="AU" term="%22Liew+DFL%22">Liew DFL</searchLink>; Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Department of Clinical Pharmacology and Therapeutics, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Buchanan+RR%22">Buchanan RR</searchLink>; Department of Rheumatology, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Owen+CE%22">Owen CE</searchLink>; Department of Rheumatology, Austin Health, and Department of Medicine, University of Melbourne, Victoria, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Chapman+WW%22">Chapman WW</searchLink>; Centre for Digital Transformation of Health, University of Melbourne, Victoria, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Pires+DEV%22">Pires DEV</searchLink>; Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne, Victoria, Melbourne, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101623795%22">Arthritis & rheumatology (Hoboken, N.J.)</searchLink> [Arthritis Rheumatol] 2022 Dec; Vol. 74 (12), pp. 1893-1905. <i>Date of Electronic Publication: </i>2022 Oct 26.
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        Value: 10.1002/art.42296
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              Text: 2022 Dec
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