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. |
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| 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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