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A Systemic Approach to the Oversight of Machine Learning Clinical Translation
American Journal of Bioethics 22 (5):23-25 (2022)
Abstract
Machine learning heralds highly transformative approaches to the automation of numerous clinical tasks, from diagnosis to risk assessment, and from prognosis to informing treatment decisions....Author's Profile
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Citations of this work
Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability.James A. Anderson, Melissa D. McCradden & Elizabeth A. Stephenson - 2022 - American Journal of Bioethics 22 (10):6-8.
Promoting Ethical Deployment of Artificial Intelligence and Machine Learning in Healthcare.Kayte Spector-Bagdady, Vasiliki Rahimzadeh, Kaitlyn Jaffe & Jonathan Moreno - 2022 - American Journal of Bioethics 22 (5):4-7.
References found in this work
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul - 2022 - American Journal of Bioethics 22 (5):8-22.
Brain disorders? Not really: Why network structures block reductionism in psychopathology research.Denny Borsboom, Angélique O. J. Cramer & Annemarie Kalis - 2019 - Behavioral and Brain Sciences 42:e2.
Ethics review of big data research: What should stay and what should be reformed?Effy Vayena, Minerva Rivas Velarde, Mahsa Shabani, Gabrielle Samuel, Camille Nebeker, S. Matthew Liao, Peter Kleist, Walter Karlen, Jeff Kahn, Phoebe Friesen, Bobbie Farsides, Edward S. Dove, Alessandro Blasimme, Mark Sheehan, Marcello Ienca & Agata Ferretti - 2021 - BMC Medical Ethics 22 (1):1-13.
Health Research with Big Data: Time for Systemic Oversight.Effy Vayena & Alessandro Blasimme - 2018 - Journal of Law, Medicine and Ethics 46 (1):119-129.
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice.Joseph Donia & James A. Shaw - 2021 - Big Data and Society 8 (2).
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