Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review

Journals

1. Waaler P, Hussain M, Molchanov I, Bongo L, Elvevåg B. Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation. JMIR AI 2025;4:e69820 View
2. Mikołajewska E, Masiak J. Deep Learning Approaches to Natural Language Processing for Digital Twins of Patients in Psychiatry and Neurological Rehabilitation. Electronics 2025;14(10):2024 View
3. Wanniarachchi V, Greenhalgh C, Choi A, Warren J. Personalization variables in digital mental health interventions for depression and anxiety in adolescents and youth: a scoping review. Frontiers in Digital Health 2025;7 View
4. Ni Y, Jia F. A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education. Healthcare 2025;13(10):1205 View
5. Zhang W, Zhang Q, Wang P, Zhou X, Wu Y. The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis. Asian Journal of Psychiatry 2025;110:104596 View
6. Wang X, Zhou Y, Zhou G. The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review. JMIR Mental Health 2025;12:e70610 View
7. Moe J, Robins L, Corley P, Bumpas C, Augustine B, Sparkman-Key N. Hope, Multiple Minority Stress and Suicidal Behavior in Diverse LGBTQ Populations: A Longitudinal Study. Counseling Outcome Research and Evaluation 2025:1 View
8. Flaherty H, Krishnan P. Refusing to Fall Behind: The Ethical Obligation to Embrace AI in Mental Health Social Work. Journal of Evidence-Based Social Work 2025:1 View
9. Wislocki K, Sami S, Liberzon G, Zalta A. Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study. JMIR Mental Health 2025;12:e80801 View
10. de la Fuente Tambo D, Iglesias Moreno S, Armayones Ruiz M. Barriers and enablers for generative artificial intelligence in clinical psychology: a qualitative study based on the COM-B and theoretical domains framework (TDF) models. BMC Psychology 2025;13(1) View
11. Teles A, Chaturvedi J, Wang T, Scazufca M, Msosa Y, Stahl D, Roberts A, Montague-Cardoso K. Generative multimodal large language models in mental health care: Applications, opportunities, and challenges. PLOS Mental Health 2025;2(11):e0000488 View
12. Huynh A, Roy T, Jackson K, Lee A, Liaw W, Hossain M. Applications of artificial intelligence-based conversational agents in healthcare: A systematic umbrella review. International Journal of Medical Informatics 2025:106204 View

Books/Policy Documents

1. Zhao M, Bai Y, Zhong W, Cun W, Li Y, Zhu M, Feng Y, Chen D. Virtual, Augmented and Mixed Reality. View
2. Avelino Gomez M. AI in Mental Health. View

Conference Proceedings

1. Sri L, Shri R R, Thrisha R, S V. 2025 International Conference on Electronics and Renewable Systems (ICEARS). MindMend: Explainable GANs for Stimulating Mental Health Scenarios in Therapist Training View
2. Song X, Song H, Gao B, Gao Q, Li W, Xu L, Lu Z. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. “Do You Need the Sage's Tea or the Friend's Cola” Exploring the Differential Healing Effects of Generative AI Conversational Styles View