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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5217) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3256) Natural Language Processing (1306) Methods and New Tools in Mental Health Research (917) Generative Language Models Including ChatGPT (1559)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78138, first published .
Therapist taking notes during a counseling session with a patient

Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study

Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study

Authors of this article:

Inka Napiwotzki1 Author Orcid Image ;   Julian Laue2 Author Orcid Image ;   Flora Caldarone1 Author Orcid Image ;   Maximilian Idahl2 Author Orcid Image ;   Uwe Hadler2 Author Orcid Image ;   Haithem Amrani2 Author Orcid Image ;   Elisabeth Hildt3 Author Orcid Image ;   Kai G Kahl1 Author Orcid Image ;   Wolfgang Nejdl2 Author Orcid Image
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Journals

  1. Leung J, Johnson B, McRae K, Fong S, Gonzalez P, McClure-Thomas C, Sun T, Kern N, Wong Y, Liu R, Chan G. Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis. JMIR AI 2026;5:e87730 View