Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?
- PMID: 30242810
- PMCID: PMC6689530
- DOI: 10.1001/amajethics.2018.804
Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?
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?
© 2018 American Medical Association. All Rights Reserved.
Conflict of interest statement
Conflict of Interest Disclosure
Dr Dunn is a consultant to Otsuka America Pharmaceuticals, Inc., and a member of Lundbeck’s advisory boards. The other authors had no conflicts of interest to disclose.
Comment on
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Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach.Lancet Psychiatry. 2016 Oct;3(10):935-946. doi: 10.1016/S2215-0366(16)30171-7. Epub 2016 Aug 25. Lancet Psychiatry. 2016. PMID: 27569526 Clinical Trial.
References
-
- Koutsouleris N, Kahn RS, Chekroud AM, et al. Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach. Lancet Psychiatry. 2016;3(10):935–946. - PubMed
-
- Hall RC. Global assessment of functioning. A modified scale. Psychosomatics. 1995;36(3):267–275. - PubMed
-
- Dwyer DB, Falkai P, Koutsouleris N. Machine learning approaches for clinical psychology and psychiatry. Annu Rev Clin Psychol. 2018;14:91–118. - PubMed
-
- Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine. JAMA. 2016;315(6):551–552. - PubMed
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