Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

Journal: Artificial intelligence in medicine

PMID: 31980092

Abstract

BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial intelligence (AI) and machine learning (ML), will lead to substantial job losses in many sectors disrupting many aspects of healthcare. Mental health appears ripe for such disruption given the global illness burden, stigma, and shortage of care providers.

Authors

P Murali Doraiswamy

Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States; Department of Medicine, Duke University School of Medicine, United States.
Charlotte Blease

General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Kaylee Bodner

Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States. Electronic address: kaylee.bodner@duke.edu.

Keywords

Adult Artificial Intelligence Cost of Illness Cross-Sectional Studies Female Humans Machine Learning Male Middle Aged Physicians Psychiatry Referral and Consultation Social Stigma Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (31980092)

Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

Abstract

Authors

Keywords

External Resources

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