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Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?
Nicole Martinez-Martin1, Laura B Dunn2, Laura Weiss Roberts3
1A postdoctoral fellow at the Stanford Center for Biomedical Ethics in Stanford, California.
Abstract:
Machine learning is a method for predicting clinically relevant variables, such as opportunities for early intervention, potential treatment response, prognosis, and health outcomes. This commentary examines the following ethical questions about machine learning in a case of a patient with new onset psychosis: (1) When is clinical innovation ethically acceptable? (2) How should clinicians communicate with patients about the ethical issues raised by a machine learning predictive model?
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