CORRECTION article

Front. Med.

Sec. Dermatology

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1617441

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"

Provisionally accepted
Stephan KemenesStephan Kemenes1Liu ChangLiu Chang2Maja SchlerethMaja Schlereth3Rita Noversa De SousaRita Noversa De Sousa4Ioanna MinopoulouIoanna Minopoulou5Ioanna MinopoulouIoanna Minopoulou4Giulia CorteGiulia Corte4Melek Yalcin MutluMelek Yalcin Mutlu4Michael Wolfgang HönerMichael Wolfgang Höner1Ioannis SagonasIoannis Sagonas1Birte CoppersBirte Coppers4Anna-Maria LiphardtAnna-Maria Liphardt4David SimonDavid Simon5Arnd KleyerArnd Kleyer5Michael SticherlingMichael Sticherling2Michael SticherlingMichael Sticherling1Georg Andreas SchettGeorg Andreas Schett4Andreas K MaierAndreas K Maier2Filippo FagniFilippo Fagni4*
  • 1Department of Dermatology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
  • 2Pattern Recognition Lab, Department of Computer Science, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Bavaria, Germany
  • 3Department Artificial Intelligence in Biomedical Engineering, Technische Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bavaria, Germany
  • 4Department of Internal Medicine 3, Rheumatology and Immunology, Faculty of Medicine, University of Erlangen Nuremberg, Erlangen, Germany
  • 5Department of Rheumatology and Clinical Immunology, Charité University Medicine Berlin, Berlin, Baden-Württemberg, Germany

This article is a correction to:

  1. Advancement and Independent Validation of a Deep Learning-based tool for Automated Scoring of Nail Psoriasis Severity Using the Modified Nail Psoriasis Severity Index

    1. Read original article

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Name of all authors as they appear in the published original article (INSERT ONLY IF correcting author names or adding authors. Insert the correct version of the author list) Stephan Kemenes, Liu Chang, Maja Schlereth, Rita Noversa de Sousa, Ioanna Minopoulou, Pauline Fenzl, Giulia Cort, Melek Yalcin Mutlu, Michael Wolfgang Höner, Ioannis Sagonas, Birte Coppers, Anna-Maria Liphart, David Simon, Arnd Kleyer, Lukas Folle, Michael Sticherling, Georg Schett, Andreas Maier, Filippo FagniAffiliations of all authors as they appear in the published original version of the article (INSERT ONLY IF correcting affiliation(s) or adding affiliation(s). Insert the correct version of the affiliation(s)) * Correspondence: filippo.fagni@uk-erlangen.deKeywords: same as original articleCorrigendum on: 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, Liphart A-M, Simon D, Kleyer A, Folle L, Sticherling M, Schett G, Maier A and Fagni F (2025) 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. 12:1574413. doi: 10.3389/fmed.2025.1574413Incorrect Author Name Please also check that the initials used in the Author Contributions section or elsewhere in the article are correct. 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

Keywords: Psoriasis, psoriatic arthritis, Artificial inteleigence, Nail disease, neural network

Received: 24 Apr 2025; Accepted: 23 May 2025.

Copyright: © 2025 Kemenes, Chang, Schlereth, Noversa De Sousa, Minopoulou, Minopoulou, Corte, Yalcin Mutlu, Höner, Sagonas, Coppers, Liphardt, Simon, Kleyer, Sticherling, 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) or licensor 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, Department of Internal Medicine 3, Rheumatology and Immunology, Faculty of Medicine, University of Erlangen Nuremberg, Erlangen, Germany

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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