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Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.

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Title: Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.
Authors: Venäläinen MS; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.; Department of Medical Physics, Turku University Hospital, Turku, Finland., Biehl A; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland., Holstila M; Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland., Kuusalo L; Centre for Rheumatology and Clinical Immunology, Division of Medicine, University of Turku and Turku University Hospital, Turku, Finland., Elo LL; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.; Institute of Biomedicine, University of Turku, Turku, Finland.
Source: Rheumatology (Oxford, England) [Rheumatology (Oxford)] 2025 Mar 01; Vol. 64 (3), pp. 1068-1076.
Publication Type: Journal Article; Validation Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100883501 Publication Model: Print Cited Medium: Internet ISSN: 1462-0332 (Electronic) Linking ISSN: 14620324 NLM ISO Abbreviation: Rheumatology (Oxford) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.
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  Data: <searchLink fieldCode="AU" term="%22Venäläinen+MS%22">Venäläinen MS</searchLink>; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.; Department of Medical Physics, Turku University Hospital, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Biehl+A%22">Biehl A</searchLink>; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Holstila+M%22">Holstila M</searchLink>; Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Kuusalo+L%22">Kuusalo L</searchLink>; Centre for Rheumatology and Clinical Immunology, Division of Medicine, University of Turku and Turku University Hospital, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Elo+LL%22">Elo LL</searchLink>; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.; Institute of Biomedicine, University of Turku, Turku, Finland.
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  Data: <searchLink fieldCode="JN" term="%22100883501%22">Rheumatology (Oxford, England)</searchLink> [Rheumatology (Oxford)] 2025 Mar 01; Vol. 64 (3), pp. 1068-1076.
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  Data: Journal Article; Validation Study; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100883501 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1462-0332 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214620324%22">14620324 </searchLink><i>NLM ISO Abbreviation: </i>Rheumatology (Oxford) <i>Subsets: </i>MEDLINE
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        Value: 10.1093/rheumatology/keae215
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      – Code: eng
        Text: English
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              Text: 2025 Mar 01
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