The value of standards for health datasets in artificial intelligence-based applications

Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in...

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Detalles Bibliográficos
Autores principales: Arora, Anmol, Alderman, Joseph E., Palmer, Joanne, Ganapathi, Shaswath, Laws, Elinor, McCradden, Melissa D., Oakden-Rayner, Lauren, Pfohl, Stephen R., Ghassemi, Marzyeh, McKay, Francis, Treanor, Darren, Rostamzadeh, Negar, Mateen, Bilal, Gath, Jacqui, Adebajo, Adewole O., Kuku, Stephanie, Matin, Rubeta, Heller, Katherine, Sapey, Elizabeth, Sebire, Neil J., Cole-Lewis, Heather, Calvert, Melanie, Denniston, Alastair, Liu, Xiaoxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667100/
https://www.ncbi.nlm.nih.gov/pubmed/37884627
http://dx.doi.org/10.1038/s41591-023-02608-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667100/
https://www.ncbi.nlm.nih.gov/pubmed/37884627
http://dx.doi.org/10.1038/s41591-023-02608-w

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