Disparities in dermatology AI performance on a diverse, curated clinical image set

An estimated 3 billion people lack access to dermatological care globally. Artificial intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However, most AI models have not been assessed on images of diverse skin tones or uncommon diseases. Thus, we created the Diverse De...

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Detalles Bibliográficos
Autores principales: Daneshjou, Roxana, Vodrahalli, Kailas, Novoa, Roberto A., Jenkins, Melissa, Liang, Weixin, Rotemberg, Veronica, Ko, Justin, Swetter, Susan M., Bailey, Elizabeth E., Gevaert, Olivier, Mukherjee, Pritam, Phung, Michelle, Yekrang, Kiana, Fong, Bradley, Sahasrabudhe, Rachna, Allerup, Johan A. C., Okata-Karigane, Utako, Zou, James, Chiou, Albert S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Social and Interdisciplinary Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374341/
https://www.ncbi.nlm.nih.gov/pubmed/35960806
http://dx.doi.org/10.1126/sciadv.abq6147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374341/
https://www.ncbi.nlm.nih.gov/pubmed/35960806
http://dx.doi.org/10.1126/sciadv.abq6147

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