Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Objective and automatic grading system of facial signs from selfie pictures of South African women: Characterization of changes with age and sun‐exposures
por: Flament, Frederic, et al.
Publicado: (2022) -
Objective and automatic grading system of facial signs from smartphones’ pictures in South African men: Validation versus dermatologists and characterization of changes with age
por: Flament, Frederic, et al.
Publicado: (2023) -
Photoprotection according to skin phototype and dermatoses: practical recommendations from an expert panel
por: Passeron, T., et al.
Publicado: (2021) -
Dermoscopy of facial angiofibromas in Fitzpatrick II‐III phototype subjects affected by tuberous sclerosis complex
por: Lacarrubba, Francesco, et al.
Publicado: (2023) -
Validity of the Fitzpatrick Skin Phototype Classification in Ecuador
por: Fors, Martha, et al.
Publicado: (2020)