Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model

IntroductionPost-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD).MethodsIn this multicenter, retrospective study, we included consecutive patients tha...

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Published in:Frontiers in Medicine
Main Authors: Theodoros Karampitsakos, Vasilina Sotiropoulou, Matthaios Katsaras, Panagiota Tsiri, Vasiliki E. Georgakopoulou, Ilias C. Papanikolaou, Eleni Bibaki, Ioannis Tomos, Irini Lambiri, Ourania Papaioannou, Eirini Zarkadi, Emmanouil Antonakis, Aggeliki Pandi, Elli Malakounidou, Fotios Sampsonas, Sotiria Makrodimitri, Serafeim Chrysikos, Georgios Hillas, Katerina Dimakou, Nikolaos Tzanakis, Nikolaos V. Sipsas, Katerina Antoniou, Argyris Tzouvelekis
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Subjects:
post-COVID-19
long COVID
interstitial lung disease
antifibrotics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1083264/full

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https://www.frontiersin.org/articles/10.3389/fmed.2022.1083264/full

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