Shaping the future of AI in healthcare through ethics and governance
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DOI: 10.1057/s41599-024-02894-w
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- Haugen, Hans Morten, 2020. "The crucial and contested global public good: principles and goals in global internet governance," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(1), pages 1-22.
- Winter, Jenifer Sunrise & Davidson, Elizabeth, 2022. "Harmonizing regulatory regimes for the governance of patient-generated health data," Telecommunications Policy, Elsevier, vol. 46(5).
- Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
- Wu, Chao, 2024. "Data privacy: From transparency to fairness," Technology in Society, Elsevier, vol. 76(C).
- Elizabeth Gibney, 2024. "What the EU’s tough AI law means for research and ChatGPT," Nature, Nature, vol. 626(8001), pages 938-939, February.
- Marina Johnson & Abdullah Albizri & Serhat Simsek, 2022. "Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis," Annals of Operations Research, Springer, vol. 308(1), pages 275-305, January.
- Nenad Tomašev & Xavier Glorot & Jack W. Rae & Michal Zielinski & Harry Askham & Andre Saraiva & Anne Mottram & Clemens Meyer & Suman Ravuri & Ivan Protsyuk & Alistair Connell & Cían O. Hughes & Alan K, 2019. "A clinically applicable approach to continuous prediction of future acute kidney injury," Nature, Nature, vol. 572(7767), pages 116-119, August.
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