Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imaging
- PMID: 35086838
- DOI: 10.1183/13993003.00022-2022
Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imaging
Conflict of interest statement
Conflict of interest: P-R. Burgel reports support for the present manuscript from Vaincre la Mucoviscidose; grants from Vertex and GSK; consulting fees from AstraZeneca, Chiesi, GSK, Insmed, Vertex and Zambon; lecture honoraria from Pfizer and Novartis; outside the submitted work. G. Chassagnon reports lecture honoraria from Chiesi, outside the submitted work. All other authors have nothing to disclose.
Comment on
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Using chest computed tomography and unsupervised machine learning for predicting and evaluating response to lumacaftor-ivacaftor in people with cystic fibrosis.Eur Respir J. 2022 Jun 16;59(6):2101344. doi: 10.1183/13993003.01344-2021. Print 2022 Jun. Eur Respir J. 2022. PMID: 34795038
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