Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.

Journal: JMIR mental health
PMID: 40373033

Abstract

BACKGROUND: The global shortage of mental health professionals, exacerbated by increasing mental health needs post COVID-19, has stimulated growing interest in leveraging large language models to address these challenges.

Authors

  • Liying Wang
    Laboratory of Nutrition and Functional Food, Jilin University, Changchun 130062, People's Republic of China.
  • Tanmay Bhanushali
    College of Arts and Sciences, University of Washington, Seattle, WA, United States.
  • Zhuoran Huang
    Center for Weight, Eating, and Lifestyle Science, Drexel University, 3141 Chestnut Street, Stratton Hall, Philadelphia, PA 19104, United States.
  • Jingyi Yang
    Department of Radiation Oncology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Sukriti Badami
    College of Arts and Sciences, University of Washington, Seattle, WA, United States.
  • Lisa Hightow-Weidman
    Institute on Digital Health and Innovation, College of Nursing, Florida State University, 222 S Copeland St, Tallahassee, FL, 32306, United States, 1 (850) 644-3296.

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