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Vol. 153 No. 1 (2023)

The pursuit of health equity in the era of artificial intelligence

  • Tania Manríquez Roa
  • Markus Christen
  • Andreas Reis
  • Nikola Biller-Andorno
DOI
https://doi.org/10.57187/smw.2023.40062
Cite this as:
Swiss Med Wkly. 2023;153:40062
Published
23.01.2023

References

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  2. Rojas JC, Fahrenbach J, Makhni S, Cook SC, Williams JS, Umscheid CA, et al. Framework for Integrating Equity Into Machine Learning Models: A Case Study. Chest. 2022 Jun;161(6):1621–7. https://doi.org/10.1016/j.chest.2022.02.001 DOI: https://doi.org/10.1016/j.chest.2022.02.001
  3. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019 Jan;25(1):44–56. https://doi.org/10.1038/s41591-018-0300-7 DOI: https://doi.org/10.1038/s41591-018-0300-7
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  7. World Health Organization. Ethics and governance of artificial intelligence for health: WHO guidance. Geneva: World Health Organization; 2021.
  8. World Economic Forum. [Internet]. White paper [cited 2023 Jan 11]. Available from: https://www3.weforum.org/docs/WEF_A_Blueprint_for_Equity_and_Inclusion_in_Artificial_Intelligence_2022.pdf
  9. Aday LA, Begley CE, Lairson DR, Balkrishnan R. Equity. 3rd ed. Chicago (IL): Health Administration Press; 2004.
  10. Manriquez Roa T, Biller-Andorno N, Trachsel M. The Ethics of Artificial Intelligence in Psychotherapy. In: Trachsel M, Gaab J, Biller-Andorno N, Tekin Ş, Sadler JZ, editors. The Oxford Handbook of Psychotherapy Ethics. Oxford: Oxford University Press; 2020. pp. 744–58. DOI: https://doi.org/10.1093/oxfordhb/9780198817338.013.91
  11. Leslie D, Mazumder A, Peppin A, Wolters MK, Hagerty A. Does “AI” stand for augmenting inequality in the era of covid-19 healthcare? BMJ. 2021 Mar;372(304):n304. https://doi.org/10.1136/bmj.n304 DOI: https://doi.org/10.1136/bmj.n304
  12. d’Elia A, Gabbay M, Rodgers S, Kierans C, Jones E, Durrani I, et al. Artificial intelligence and health inequities in primary care: a systematic scoping review and framework. Fam Med Community Health. 2022 Nov;10 Suppl 1:e001670. https://doi.org/10.1136/fmch-2022-001670 DOI: https://doi.org/10.1136/fmch-2022-001670

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