Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index
We developed and validated a CNN that enables the automated, objective scoring of nail psoriasis severity based on mNAPSI with high reliability and without need of image standardization. This approach has potential clinical utility for enabling a standardized time-efficient assessment of nail involvement in the psoriatic disease and possibly as a self-reporting tool.
Authors
- Chang Liu (ORCID: https://orcid.org/0000-0002-5672-9138)
- Ioannis Sagonas (ORCID: https://orcid.org/0000-0002-3738-3813)
- Michael Sticherling (ORCID: https://orcid.org/0000-0001-9396-3938)
- Maja Schlereth (ORCID: https://orcid.org/0009-0003-4418-7065)
- Rita Noversa de Sousa (ORCID: https://orcid.org/0000-0003-0284-6686)
- Ioanna Minopoulou (ORCID: https://orcid.org/0000-0002-9499-5138)
- David Simón (ORCID: https://orcid.org/0000-0001-8310-7820)
- Arnd Kleyer (ORCID: https://orcid.org/0000-0002-2026-7728)
- Melek Yalçın Mutlu (ORCID: https://orcid.org/0000-0003-0598-5737)
- Giulia Corte (ORCID: https://orcid.org/0009-0007-2218-6503)
- Stephan Kemenes
- Birte Coppers (ORCID: https://orcid.org/0009-0000-2750-8726)
- Lukas Folle (ORCID: https://orcid.org/0000-0002-5395-097X)
- Pauline Fenzl
- Filippo Fagni (ORCID: https://orcid.org/0000-0002-6122-0774)
- Andreas Maier (ORCID: https://orcid.org/0000-0002-9550-5284)
- G. Schett
- Anna-Maria Liphart
- Michael Wolfgang Höner
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Universitätsklinikum Erlangen (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-02
- DOI
- https://doi.org/10.3389/fmed.2025.1574413
- Citations
- 1
- Primary Topic
- Psoriasis: Treatment and Pathogenesis
- Type
- article
- Field-Weighted Citation Impact
- 0.80