Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients.
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| Title: | Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients. |
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| Authors: | Guiot J; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium. J.Guiot@chuliege.be., Henket M; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium., Gester F; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium., André B; Department of Rheumatology, University Hospital of Liège, Liège, Belgium., Ernst B; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium., Frix AN; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium., Smeets D; icometrix, Leuven, Belgium., Van Eyndhoven S; icometrix, Leuven, Belgium., Antoniou K; Laboratory of Cellular and Molecular Pneumonology, School of Medicine, University of Crete, Heraklion, Crete, Greece., Conemans L; Department of Respiratory Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands., Gote-Schniering J; Department of Rheumatology and Immunology, Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.; Department for BioMedical Research (DBMR), Lung Precision Medicine (LPM), University of Bern, Bern, Switzerland., Slabbynck H; Department of Pneumology, ZNA Middelheim, Antwerpen, Belgium., Kreuter M; Mainz Center for Pulmonary Medicine, Department of Pneumology, Department of Pulmonary, ZfT, Mainz University Medical Center and Department of Pulmonary, Critical Care and Sleep Medicine, Marienhaus Clinic Mainz, Mainz, Germany., Sellares J; Department of Pneumology, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain., Tomos I; Department of Pulmonary Medicine, SOTIRIA Chest Diseases Hospital of Athens, Athens, Greece., Yang G; Bioengineering Department and Imperial-X, Imperial College London, London, UK.; National Heart and Lung Institute, Imperial College London, London, UK., Ribbens C; Department of Rheumatology, University Hospital of Liège, Liège, Belgium., Louis R; Department of Respiratory Medicine, University Hospital of Liège, Liège, Belgium., Cottin V; National Reference Centre for Rare Pulmonary Diseases, Louis Pradel Hospital, member of ERN-LUNG, Hospices Civils de Lyon, UMR 754, INRAE, Claude Bernard University Lyon 1, Lyon, France., Tomassetti S; Unit of Interventional Pulmonology, Department of Experimental and Clinical Medicine, Careggi University Hospital, Florence, Italy., Smith V; Department of Rheumatology, Ghent University Hospital, Ghent, Belgium.; Department of Internal Medicine, Ghent University, Ghent, Belgium.; Unit for Molecular Immunology and Inflammation, VIB Inflammation Research Centre (IRC), Ghent, Belgium., Walsh SLF; National Heart and Lung Institute, Imperial College London, London, UK. |
| Source: | Respiratory research [Respir Res] 2025 Jan 24; Vol. 26 (1), pp. 39. Date of Electronic Publication: 2025 Jan 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101090633 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-993X (Electronic) Linking ISSN: 14659921 NLM ISO Abbreviation: Respir Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1465-993X |
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| DOI: | 10.1186/s12931-025-03117-9 |
