Artificial intelligence in CT for quantifying lung changes in the era of CFTR modulators.
Gael DournesChase S HallMatthew M WillmeringAlan S BrodyJulie MaceyStephanie BuiBaudouin Denis-De-SennevillePatrick BergerFrançois LaurentFrançois LaurentJason C WoodsPublished in: The European respiratory journal (2021)
Artificial intelligence allows a fully automated volumetric quantification of cystic fibrosis-related modifications over an entire lung. The novel scoring system could provide a robust disease outcome in the era of effective CFTR modulator therapy.
Keyphrases
- artificial intelligence
- cystic fibrosis
- machine learning
- deep learning
- big data
- pseudomonas aeruginosa
- lung function
- computed tomography
- small molecule
- contrast enhanced
- image quality
- high throughput
- magnetic resonance imaging
- dual energy
- stem cells
- chronic obstructive pulmonary disease
- magnetic resonance
- single cell