Accuracy and clinical relevance of an automated, algorithm‐based analysis of facial signs from selfie images of women in the United States of various ages, ancestries and phototypes: A cross‐sectional observational study

BACKGROUND: Real‐life validation is necessary to ensure our artificial intelligence (AI) skin diagnostic tool is inclusive across a diverse and representative US population of various ages, ancestries and skin phototypes. OBJECTIVES: To explore the relevance and accuracy of an automated, algorithm‐b...

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Detalles Bibliográficos
Autores principales: Flament, Frederic, Jiang, Ruowei, Houghton, Jeff, Zhang, Yuze, Kroely, Camille, Jablonski, Nina G., Jean, Aurelie, Clarke, Jeffrey, Steeg, Jason, Sehgal, Cassidy, McParland, James, Delaunay, Caroline, Passeron, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles and Short Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087370/
https://www.ncbi.nlm.nih.gov/pubmed/35986708
http://dx.doi.org/10.1111/jdv.18541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087370/
https://www.ncbi.nlm.nih.gov/pubmed/35986708
http://dx.doi.org/10.1111/jdv.18541

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