Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?

Journal: AMA journal of ethics
Published Date: Sep 1, 2018

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?

Authors

  • Nicole Martinez-Martin
    Center for Biomedical Ethics, Stanford School of Medicine, Stanford, CA, USA.
  • Laura B Dunn
    Department of Psychiatry, University of Arkansas for Medical Sciences, Arkansas, CA, United States.
  • Laura Weiss Roberts
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, United States.

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