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

Authors

  • Sua Amaya-Santos Escuela Andaluza de Salud Pública. Granada. España. https://orcid.org/0009-0003-3801-4336
  • Jaime Jiménez-Pernett Escuela Andaluza de Salud pública.Universidad de Granada. Granada. España. https://orcid.org/0000-0002-9894-7133
  • Clara Bermudez-Tamayo Escuela Andaluza de Salud Pública. Granada. España.

DOI:

https://doi.org/10.23938/ASSN.1077

Keywords:

Evauación de tecnologías sanitarias

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Author Biographies

Sua Amaya-Santos , Escuela Andaluza de Salud Pública. Granada. España.

  1. Escuela Andaluza de Salud Pública. Granada. España. https://ror.org/05wrpbp17
  2. Jagiellonian University of Krakow. Cracovia. Polonia https://ror.org/03bqmcz70
  3. Universidad de Granada. España. https://ror.org/04njjy449

Jaime Jiménez-Pernett , Escuela Andaluza de Salud pública.Universidad de Granada. Granada. España.

  1. Escuela Andaluza de Salud Pública. Granada. España. https://ror.org/05wrpbp17
  2. Universidad de Granada. España. https://ror.org/04njjy449

Clara Bermudez-Tamayo , Escuela Andaluza de Salud Pública. Granada. España.

  1. Escuela Andaluza de Salud Pública. Granada. España. https://ror.org/05wrpbp17
  2. Universidad de Granada. España. https://ror.org/04njjy449
  3. Instituto de Investigación Biosanitaria ibs.GRANADA. Granada. España. https://ror.org/026yy9j15
  4. CIBER de Epidemiología y Salud Pública (CIBERESP). España. https://ror.org/050q0kv47

References

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Published

2024-07-04

How to Cite

Amaya-Santos, S., Jiménez-Pernett, J., & Bermudez-Tamayo, C. (2024). Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis. Anales Del Sistema Sanitario De Navarra, 47(2), e1077. https://doi.org/10.23938/ASSN.1077