Effectiveness of AI-Driven Conversational Agents in Improving Mental Health Among Young People: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
PMID: 40367506

Abstract

BACKGROUND: The increasing prevalence of mental health issues among adolescents and young adults, coupled with barriers to accessing traditional therapy, has led to growing interest in artificial intelligence (AI)-driven conversational agents (CAs) as a novel digital mental health intervention. Despite accumulating evidence suggesting the effectiveness of AI-driven CAs for mental health, there is still limited evidence on their effectiveness for different mental health conditions in adolescents and young adults.

Authors

  • Yi Feng
    Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
  • Yaming Hang
    National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
  • Wenzhi Wu
    National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
  • Xiaohang Song
    National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China.
  • Xiyao Xiao
    Lingxin AI, Beijing, China.
  • Fangbai Dong
    Mental Health Center, Henan Agricultural University, Henan, China.
  • Zhihong Qiao
    Clin Lab, BGI Genomics, Tianjin, 300308, China.

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