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The American Journal of Bioethics Volume 22, 2022 - Issue 5
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Open Peer Commentaries

Scaling up the Research Ethics Framework for Healthcare Machine Learning as Global Health Ethics and Governance

Calvin Wai-Loon Hoa University of Hong KongCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8328-1308View further author information
ORCID Icon &
Rohit Malpanib World Health OrganizationView further author information
Pages 36-38 | Published online: 27 Apr 2022

REFERENCES

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  • Goodman, K., D. Zandi, A. Reis, and E. Vayena. 2020. Balancing risks and benefits of artificial intelligence in the health sector. Bulletin of the World Health Organization 98 (4):230. doi:10.2471/BLT.20.253823.
  • Hadley, T. D., R. W. Pettit, T. Malik, A. A. Khoei, and H. M. Salihu. 2020. Artificial intelligence in global health – A framework and strategy for adoption and sustainability. International Journal of Maternal and Child Health and AIDS 9 (1):121–127. doi:10.21106/ijma.296.
  • Ho, C. W. L., 2021. When learning is continuous: bridging the research–therapy divide in the regulatory governance of artificial intelligence as medical devices. In The Cambridge handbook of health research regulation, ed. G. Laurie, E. Dove, A. Ganguli-Mitra, C. McMillan, E Postan, N. Sethi, and A. Sorbie, Cambridge Law Handbooks, 277–286. Cambridge: Cambridge University Press. doi:10.1017/9781108620024.035.
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  • McCradden, M. D., J. A. Anderson, E. A. Stephenson, E. Drysdale, L. Erdman, A. Goldenberg, and R. Zlotnik Shaul. 2022. A research ethics framework for the clinical translation of healthcare machine learning. The American Journal of Bioethics 22 (5):8–12. doi:10.1080/15265161.2021.2013977.
  • Schwalbe, N., and B. Wahl. 2020. Artificial Intelligence and the future of global health. The Lancet 395 (10236):1579–86. doi:10.1016/S0140-6736(20)30226-9.
  • Vayena, E., and A. Blasimme. 2017. Biomedical big data: New models of control over access, Use and Governance. Journal of Bioethical Inquiry 14 (4):501–13. doi:10.1007/s11673-017-9809-6.
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