Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2024 Jul 4;47(2):e1077.
doi: 10.23938/ASSN.1077.

[Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis]

[Article in Spanish]
Affiliations
Editorial

[Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis]

[Article in Spanish]
Sua Amaya-Santos et al. An Sist Sanit Navar. .
No abstract available

PubMed Disclaimer

Figures

Figura 1
Figura 1. Estudio de sesgos para su mitigación con enfoque transdisciplinar
Figura 2
Figura 2. Sesgo de interseccionalidad en el diagnóstico apoyado por Inteligencia Artificial.
Figura 3
Figura 3. Proceso para una Inteligencia Artificial responsable en salud. Elaboración propia a partir de Sujan y col 2023.

Similar articles

Cited by

References

    1. Bermudez-Tamayo C, Jimenez-Pernett J. Inteligencia artificial para el avance de los sistemas de salud. Posibles aportes y retos. Revista de Derecho de la Seguridad Social Laborum. 2022;4(especial):401–414. https://revista.laborum.es/index.php/revsegsoc/article/view/641/735
    1. Peiró S. El futuro de la salud pública tras la pandemia. Una ventana de oportunidad. An Sist Sanit Navar. 2023;46(2):e1045. doi: 10.23938/ASSN.1045. - DOI - PMC - PubMed
    1. Murphy K, Di Ruggiero E, Upshur R, Willison D, Malhotra R, Cai J. Artificial intelligence for good health: a scoping review of the ethics literature. BMC Med Ethics. 2021;22(1):14–14. doi: 10.1186/s12910-021-00577-8. - DOI - PMC - PubMed
    1. Miller D, Brown E. Artificial intelligence in medical practice: The question to the answer? Am J Med. 2018;131(2):129–133. doi: 10.1016/j.amjmed.2017.10.035. - DOI - PubMed
    1. Cirillo D, Catuara-Solarz S, Morey C, Guney E, Subirats L, Mellino S, et al. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. NPJ Digit Med. 2020;3:81–81. doi: 10.1038/s41746-020-0288-5. - DOI - PMC - PubMed

Publication types

LinkOut - more resources