Global Mental Health Services and the Impact of Artificial Intelligence–Powered Large Language Models

Author:

van Heerden Alastair C.12,Pozuelo Julia R.34,Kohrt Brandon A.5

Affiliation:

1. Center for Community Based Research, Human Sciences Research Council, Pietermaritzburg, South Africa

2. SAMRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa

3. Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts

4. Department of Psychiatry, University of Oxford, Oxford, United Kingdom

5. Center for Global Mental Health Equity, Department of Psychiatry and Behavioral Sciences, George Washington School of Medicine and Health Sciences, Washington, DC

Abstract

This Viewpoint describes ways in which artificial intelligence–powered large language models may be used to improve the delivery of mental health services worldwide.

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

Reference10 articles.

1. Primary-level worker interventions for the care of people living with mental disorders and distress in low- and middle-income countries.;van Ginneken;Cochrane Database Syst Rev,2021

2. Scaling up person-centered psychosocial interventions: global mental health’s next challenge.;Patel;SSM Ment Health,2022

3. Machine learning in mental health: a scoping review of methods and applications.;Shatte;Psychol Med,2019

4. Pragmatic precision psychiatry—a new direction for optimizing treatment selection.;Kessler;JAMA Psychiatry,2021

5. Quantifying the association between psychotherapy content and clinical outcomes using deep learning.;Ewbank;JAMA Psychiatry,2020

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