Literature DB >> 30242810

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

Nicole Martinez-Martin1, Laura B Dunn2, Laura Weiss Roberts3.   

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.

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Year:  2018        PMID: 30242810      PMCID: PMC6689530          DOI: 10.1001/amajethics.2018.804

Source DB:  PubMed          Journal:  AMA J Ethics


  5 in total

1.  Immune moral models? Pro-social rule breaking as a moral enhancement approach for ethical AI.

Authors:  Rajitha Ramanayake; Philipp Wicke; Vivek Nallur
Journal:  AI Soc       Date:  2022-05-23

Review 2.  Machine Learning and Natural Language Processing in Mental Health: Systematic Review.

Authors:  Christophe Lemey; Aziliz Le Glaz; Yannis Haralambous; Deok-Hee Kim-Dufor; Philippe Lenca; Romain Billot; Taylor C Ryan; Jonathan Marsh; Jordan DeVylder; Michel Walter; Sofian Berrouiguet
Journal:  J Med Internet Res       Date:  2021-05-04       Impact factor: 5.428

3.  Key Considerations for Incorporating Conversational AI in Psychotherapy.

Authors:  Adam S Miner; Nigam Shah; Kim D Bullock; Bruce A Arnow; Jeremy Bailenson; Jeff Hancock
Journal:  Front Psychiatry       Date:  2019-10-18       Impact factor: 4.157

4.  The benefit of foresight? An ethical evaluation of predictive testing for psychosis in clinical practice.

Authors:  Natalie M Lane; Stuart A Hunter; Stephen M Lawrie
Journal:  Neuroimage Clin       Date:  2020-02-25       Impact factor: 4.881

5.  Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

Authors:  Mark Henderson Arnold
Journal:  J Bioeth Inq       Date:  2021-01-07       Impact factor: 2.216

  5 in total

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