Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users.

Journal: Journal of affective disorders
Published Date:

Abstract

BACKGROUND: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficient alternative to other screening methods.

Authors

  • Rachel L Weisenburger
    Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, United States of America. Electronic address: rachelweisenburger@utexas.edu.
  • Michael C Mullarkey
    Aiberry, Inc., United States of America.
  • Jocelyn Labrada
    Aiberry, Inc., United States of America.
  • Daniel Labrousse
    Department of Psychiatry, Georgetown University Medical Center, United States of America.
  • Michelle Y Yang
    Department of Psychiatry, Georgetown University Medical Center, United States of America.
  • Allison Huff MacPherson
    Department of Family and Community Medicine, College of Medicine, University of Arizona, United States of America.
  • Kean J Hsu
    Department of Psychiatry, Georgetown University Medical Center, United States of America; Department of Psychology, National University of Singapore, Singapore.
  • Hassan Ugail
    Centre of Visual Computing, University of Bradford, Bradford BD7 1DP, UK.
  • Jason Shumake
    Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, United States.
  • Christopher G Beevers
    Department of Psychology, University of Texas at Austin, Austin, TX, USA.