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Peer-Reviewed Publication
Clin Psychol Psychother2024;31(6):e70023.January 1, 2024Journal Article

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Jeremy J Coleman1, Jesse Owen2,3, Jesse H Wright4, Tracy D Eells5, Becky Antle6, Markessa McCoy7, Christina Signe Soma8
1Educational Psychology Department, Counseling/Counseling Psychology Program, The University of Utah, Salt Lake City, Utah, USA.
2Department of Counseling Psychology, Morgridge College of Education, University of Denver, Denver, Colorado, USA.
3SonderMind, Inc, Denver, Colorado, USA.
4Outpatient Psychiatry, University of Louisville Depression Center, Louisville, Kentucky, USA.
5Department of Psychiatry, University of Louisville, Louisville, Kentucky, USA.
6Kent School of Social Work and Family Science, University of Louisville, Louisville, Kentucky, USA.
7Department of Psychological Sciences, Augusta University, Augusta, Georgia, USA.
8Lyssn.io, Seattle, Washington, USA.
PubMed DOI

Abstract

Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well established as an effective treatment for depression and anxiety, less is known about the specific interventions used during coaching sessions that contribute to outcomes. The current study used artificial intelligence (AI) to identify specific components of clinician-supported CCBT and correlated those score…

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