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Clinical Decisions Using AI Must Consider Patient Values
Nature Medicine 28:229–232 (2022)
Abstract
Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.Author Profiles
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Citations of this work
Instruments, agents, and artificial intelligence: novel epistemic categories of reliability.Eamon Duede - 2022 - Synthese 200 (6):1-20.
Patients, doctors and risk attitudes.Nicholas Makins - 2023 - Journal of Medical Ethics 49 (11):737-741.
Medical AI, inductive risk and the communication of uncertainty: the case of disorders of consciousness.Jonathan Birch - 2023 - Journal of Medical Ethics.
Artificial intelligence and the doctor–patient relationship expanding the paradigm of shared decision making.Giorgia Lorenzini, Laura Arbelaez Ossa, David Martin Shaw & Bernice Simone Elger - 2023 - Bioethics 37 (5):424-429.
Machine learning in healthcare and the methodological priority of epistemology over ethics.Thomas Grote - 2025 - Inquiry: An Interdisciplinary Journal of Philosophy 68 (4):1218-1247.
References found in this work
Exploring Inductive Risk: Case Studies of Values in Science.Kevin Christopher Elliott & Ted Richards (eds.) - 2017 - New York: Oup Usa.
The Elements of Statistical Learning.Trevor Hastie, Robert Tibshirani & Jerome Friedman - 2010 - Springer: New York.
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