Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients

Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients

Abstract Background Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapidly evolving interstitial lung disease (ILD), driving its mortality. Specific imaging-based biomarkers associated with the evolution of lung disease are needed to help predict and quantify ILD. Metho...

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Main Authors: Julien Guiot, Monique Henket, Fanny Gester, Béatrice André, Benoit Ernst, Anne-Noelle Frix, Dirk Smeets, Simon Van Eyndhoven, Katerina Antoniou, Lennart Conemans, Janine Gote-Schniering, Hans Slabbynck, Michael Kreuter, Jacobo Sellares, Ioannis Tomos, Guang Yang, Clio Ribbens, Renaud Louis, Vincent Cottin, Sara Tomassetti, Vanessa Smith, Simon L. F. Walsh
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Respiratory Research
Subjects:
Systemic sclerosis
Interstitial lung disease
Artificial intelligence
Computed tomography
Pulmonary function tests
Online Access:https://doi.org/10.1186/s12931-025-03117-9
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https://doi.org/10.1186/s12931-025-03117-9

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