Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Abstract Background Bronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) have not previously been used for B...

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Main Authors: Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-025-00732-x
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https://doi.org/10.1038/s43856-025-00732-x

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