CORRECTION article

Front. Med., 13 April 2023

Sec. Pulmonary Medicine

Volume 10 - 2023 | https://doi.org/10.3389/fmed.2023.1194925

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

  • 1. Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece

  • 2. Department of Infectious Diseases-COVID-19 Unit, Laiko General Hospital, Athens, Greece

  • 3. Department of Respiratory Medicine, Corfu General Hospital, Corfu, Greece

  • 4. Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece

  • 5. 5th Department of Respiratory Medicine, Hospital for Thoracic Diseases, ‘SOTIRIA', Athens, Greece

  • 6. Medical School, National and Kapodistrian University of Athens, Zografou, Greece

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In the published article, the Funding statement was not reported. The correct Funding statement appears below.

Statements

Funding

The publication fees of this manuscript have been financed by the Research Council of the University of Patras.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

post-COVID-19, long COVID, interstitial lung disease, antifibrotics, machine learning

Citation

Karampitsakos T, Sotiropoulou V, Katsaras M, Tsiri P, Georgakopoulou VE, Papanikolaou IC, Bibaki E, Tomos I, Lambiri I, Papaioannou O, Zarkadi E, Antonakis E, Pandi A, Malakounidou E, Sampsonas F, Makrodimitri S, Chrysikos S, Hillas G, Dimakou K, Tzanakis N, Sipsas NV, Antoniou K and Tzouvelekis A (2023) Corrigendum: Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model. Front. Med. 10:1194925. doi: 10.3389/fmed.2023.1194925

Received

27 March 2023

Accepted

28 March 2023

Published

13 April 2023

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

10 - 2023

Updates

Copyright

*Correspondence: Argyris Tzouvelekis ;

†These authors have contributed equally to this work and share first authorship

This article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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