Cargando…
Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis
Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clini...
Autores principales: | ZAAR, Oscar, LARSON, Alexander, POLESIE, Sam, SALEH, Karim, TARSTEDT, Mikael, OLIVES, Antonio, SUAREZ, Andrea, GILLSTEDT, Martin, NEITTAANMÄKI, Noora |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Publication of Acta Dermato-Venereologica
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234984/ https://www.ncbi.nlm.nih.gov/pubmed/32852557 http://dx.doi.org/10.2340/00015555-3624 |
Ejemplares similares
-
Attitudes Toward Artificial Intelligence Within Dermatopathology: An International Online Survey
por: Polesie, Sam, et al.
Publicado: (2020) -
Frequency of Publication of Dermoscopic Images in Inter-observer Studies: A Systematic Review
por: POLESIE, Sam, et al.
Publicado: (2021) -
Incidence of Kaposi Sarcoma in Sweden is Decreasing
por: BIELIAUSKIENE, Giedre, et al.
Publicado: (2020) -
Methotrexate Use for Patients with Psoriasis and Risk of Cutaneous Squamous Cell Carcinoma: A Nested Case-control Study
por: GIANNOPOULOS, Filippos, et al.
Publicado: (2021) -
Impact of Etanercept on Vitamin D Status and Vitamin D-binding Protein in Bio-naïve Patients with Psoriasis
por: VANDIKAS, Maria Siekkeri, et al.
Publicado: (2021)