In the published article, an author name was incorrectly written as Anna-Maria Liphart. The correct spelling is Anna-Maria Liphardt.
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.
Statements
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
psoriasis, psoriatic arthritis, nail disease, NAPSI, MNAPSI, artificial intelligence, machine learning, outcome measures
Citation
Kemenes S, Chang L, Schlereth M, Noversa de Sousa R, Minopoulou I, Fenzl P, Corte G, Yalcin Mutlu M, Höner MW, Sagonas I, Coppers B, Liphardt A-M, Simon D, Kleyer A, Folle L, Sticherling M, Schett G, Maier A and Fagni F (2025) Corrigendum: Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index. Front. Med. 12:1617441. doi: 10.3389/fmed.2025.1617441
Received
24 April 2025
Accepted
23 May 2025
Published
05 June 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2025
Updates
Copyright
© 2025 Kemenes, Chang, Schlereth, Noversa de Sousa, Minopoulou, Fenzl, Corte, Yalcin Mutlu, Höner, Sagonas, Coppers, Liphardt, Simon, Kleyer, Folle, Sticherling, Schett, Maier and Fagni.
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: Filippo Fagni filippo.fagni@uk-erlangen.de
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.