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CORRECTION article

Front. Med., 13 April 2023
Sec. Pulmonary Medicine
This article is part of the Research Topic Immune-Mediated Lung Injury View all 15 articles

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

\nTheodoros Karampitsakos&#x;Theodoros Karampitsakos1Vasilina Sotiropoulou&#x;Vasilina Sotiropoulou1Matthaios KatsarasMatthaios Katsaras1Panagiota TsiriPanagiota Tsiri1Vasiliki E. GeorgakopoulouVasiliki E. Georgakopoulou2Ilias C. PapanikolaouIlias C. Papanikolaou3Eleni BibakiEleni Bibaki4Ioannis TomosIoannis Tomos5Irini LambiriIrini Lambiri4Ourania PapaioannouOurania Papaioannou1Eirini ZarkadiEirini Zarkadi1Emmanouil AntonakisEmmanouil Antonakis3Aggeliki PandiAggeliki Pandi3Elli MalakounidouElli Malakounidou1Fotios SampsonasFotios Sampsonas1Sotiria MakrodimitriSotiria Makrodimitri2Serafeim ChrysikosSerafeim Chrysikos5Georgios HillasGeorgios Hillas5Katerina DimakouKaterina Dimakou5Nikolaos TzanakisNikolaos Tzanakis4Nikolaos V. Sipsas,Nikolaos V. Sipsas2,6Katerina AntoniouKaterina Antoniou4Argyris Tzouvelekis
Argyris Tzouvelekis1*
  • 1Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece
  • 2Department of Infectious Diseases-COVID-19 Unit, Laiko General Hospital, Athens, Greece
  • 3Department of Respiratory Medicine, Corfu General Hospital, Corfu, Greece
  • 4Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece
  • 55th Department of Respiratory Medicine, Hospital for Thoracic Diseases, ‘SOTIRIA', Athens, Greece
  • 6Medical School, National and Kapodistrian University of Athens, Zografou, Greece

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

by Karampitsakos, T., Sotiropoulou, V., Katsaras, M., Tsiri, P., Georgakopoulou, V. E., Papanikolaou, I. C., 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, N. V., Antoniou, K., and Tzouvelekis, A. (2023). Front. Med. 9:1083264. doi: 10.3389/fmed.2022.1083264

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

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.

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

Copyright © 2023 Karampitsakos, Sotiropoulou, Katsaras, Tsiri, Georgakopoulou, Papanikolaou, Bibaki, Tomos, Lambiri, Papaioannou, Zarkadi, Antonakis, Pandi, Malakounidou, Sampsonas, Makrodimitri, Chrysikos, Hillas, Dimakou, Tzanakis, Sipsas, Antoniou and Tzouvelekis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Argyris Tzouvelekis, YXR6b3V2ZWxla2lzJiN4MDAwNDA7dXBhdHJhcy5ncg==; YXJneXJpcy50em91dmVsZWtpcyYjeDAwMDQwO2dtYWlsLmNvbQ==

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

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.