Comparative performance of deep learning models and non-dermatologists in diagnosing psoriasis, dermatophytosis, and eczema

Abstract Accurately differentiating scaly erythematous rashes among psoriasis, eczema, and dermatophytosis remains a clinical challenge, particularly for non-dermatologists. This study aimed to develop and evaluate deep learning models using macroscopic clinical images to classify these conditions a...

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Detalhes bibliográficos

Principais autores:	Nutcha Yodrabum, Chanisada Wongpraparut, Taravichet Titijaroonroj, Leena Chularojanamontri, Sumanas Bunyaratavej, Narumol Silpa-archa, Chayada Chaiyabutr, Thanapon Noraset, Teerapat Paringkarn, Thrit Hutachoke, Prameyuda Watchirakaeyoon, Pantaree Kobkurkul, Sirin Apichonbancha, Praveena Chiowchanwisawakit
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-12-01
coleção:	Scientific Reports
Assuntos:	Deep learning Artificial intelligence Psoriasis Dermatophytosis Eczema
Acesso em linha:	https://doi.org/10.1038/s41598-025-29562-6
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