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Machine Learning Algorithms in the Personalized Modeling of Incapacitated Patients’ Decision Making—Is It a Viable Concept?
American Journal of Bioethics 24 (7):51-53 (2024)
Abstract
New informatics technologies are becoming increasingly important in medical practice. Machine learning (ML) and deep learning (DL) systems enable data analysis and the formulation of medical recomm...Author's Profile
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References found in this work
Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (5):medethics - 2020-106820.
Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability.Alex John London - 2019 - Hastings Center Report 49 (1):15-21.
A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable.Brian D. Earp, Sebastian Porsdam Mann, Jemima Allen, Sabine Salloch, Vynn Suren, Karin Jongsma, Matthias Braun, Dominic Wilkinson, Walter Sinnott-Armstrong, Annette Rid, David Wendler & Julian Savulescu - 2024 - American Journal of Bioethics 24 (7):13-26.
High hopes for “Deep Medicine”? AI, economics, and the future of care.Robert Sparrow & Joshua Hatherley - 2020 - Hastings Center Report 50 (1):14-17.
Patient preference predictors and the problem of naked statistical evidence.Nathaniel Paul Sharadin - 2018 - Journal of Medical Ethics 44 (12):857-862.
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