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

Artificial Intelligence (2129) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Web-based and Mobile Health Interventions (4018) Depression and Mood Disorders; Suicide Prevention (1691) Anxiety and Stress Disorders (1330) Applications of AI (287) Mobile Health in Psychiatry (527)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60435, first published .
Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

Authors of this article:

Johanna Habicht1 Author Orcid Image ;   Larisa-Maria Dina1, 2 Author Orcid Image ;   Jessica McFadyen1 Author Orcid Image ;   Mona Stylianou3 Author Orcid Image ;   Ross Harper1 Author Orcid Image ;   Tobias U Hauser1, 4, 5, 6 Author Orcid Image ;   Max Rollwage1 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

Journals

  1. Franke Föyen L, Zapel E, Lekander M, Hedman-Lagerlöf E, Lindsäter E. Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice on quality, empathy, and perceived authorship. Internet Interventions 2025;41:100841 View
  2. Oh W, Veshtaj M, Sakhuja A. Enriching patient populations in ICU trials: reducing heterogeneity through machine learning. Current Opinion in Critical Care 2025;31(4):410 View
  3. Greaves J, Colucci E. Crisis-line workers’ perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity. BMC Public Health 2025;25(1) View
  4. Yirmiya K, Fonagy P. Mentalizing Without a Mind: Psychotherapeutic Potential of Generative AI. Journal of Medical Internet Research 2025;27:e79156 View
  5. Tomasz Ufniarski , Maria Ufniarska , Aleksandra Piech , Karolina Pasierb , Karol Poplicha , Martyna Grodzińska , Bartłomiej Siuzdak , Justyna Moszkowicz , Piotr Sobkiewicz , Patrycja Kardasz , Marta Jutrzenka , Patrycja Ucieklak . LARGE LANGUAGE MODEL BASED CHATBOTS – A CHANCE FOR CLOSING THE MENTAL HEALTH TREATMENT GAP OR A THREAT TO THE PUBLIC HEALTH? A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2025;3(3(47)) View
  6. Artsi Y, Sorin V, Glicksberg B, Korfiatis P, Nadkarni G, Klang E. Large language models in real-world clinical workflows: a systematic review of applications and implementation. Frontiers in Digital Health 2025;7 View
  7. Ohu F, Burrell D, Jones L. Public Health Risk Management, Policy, and Ethical Imperatives in the Use of AI Tools for Mental Health Therapy. Healthcare 2025;13(21):2721 View
  8. Bodner R, Lim K, Schneider R, Torous J. Efficacy and risks of artificial intelligence chatbots for anxiety and depression: a narrative review of recent clinical studies. Current Opinion in Psychiatry 2026;39(1):19 View
  9. Anjum R, Daud S, Bhatti G, Saddique F. Evaluation of AI-based mental health interventions using the grey relational analysis. Grey Systems: Theory and Application 2025:1 View
  10. Im C, Woo M. Clinical Efficacy, Therapeutic Mechanisms, and Implementation Features of Cognitive Behavioral Therapy–Based Chatbots for Depression and Anxiety: Narrative Review. JMIR Mental Health 2025;12:e78340 View