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The American Journal of Bioethics Volume 20, 2020 - Issue 11
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OPEN PEER COMMENTARES

Respect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications

Stephanie A. Krafta Seattle Children's Research Institute;b University of Washington School of MedicineCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2862-7601View further author information
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Pages 51-53 | Published online: 26 Oct 2020

REFERENCES

  • Campelia, G. D., and A. Feinsinger. 2020. Creating space for feminist ethics in medical school. HEC Forum: An Interdisciplinary Journal on Hospitals' Ethical and Legal Issues 32 (2):111–124.
  • Char, D. S., M. D. Abràmoff, and C. Feudtner. 2020. Identifying ethical considerations for machine learning healthcare applications. The American Journal of Bioethics 20 (11):7–17. doi: 10.1080/15265161.2020.1819469.
  • Dickert, N. W. 2009. Re-examining respect for human research participants. Kennedy Institute of Ethics Journal 19 (4):311–338.
  • Levesque, J. F., M. F. Harris, and G. Russell. 2013. Patient-centred access to health care: Conceptualising access at the interface of health systems and populations. International Journal for Equity in Health 12 (12):18.
  • Mackenzie, C., and N. Stoljar. 2000. Introduction: Autonomy refigured. In Relational autonomy: Feminist perspectives on autonomy, agency, and the social self, eds. C. Mackenzie and N. Stoljar, 3–31. New York: Oxford University Press.

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