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Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80348, first published .
Doctor's gloved hand touches futuristic medical interface displaying brain scans and heart monitor.

Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards

Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards

Authors of this article:

Ha Na Cho1 Author Orcid Image ;   Jiayuan Wang1 Author Orcid Image ;   Di Hu1 Author Orcid Image ;   Kai Zheng1 Author Orcid Image

Journals

  1. Moya-Sanchez D. Artificial Intelligence in Psychiatry: A Clinical Framework for the Supervised Integration of Large Language Models when Patients Are Already Using Them. AI in Neuroscience 2026;2(2-3):45 View
  2. Li A, Yao S, Chen B, Li X, Guo S. Prompt engineering a large language model with evidence-based persuasive features to improve confidence in mental health professionals: a pilot randomized experiment. Frontiers in Public Health 2026;14 View

Conference Proceedings

  1. Lopatovska I, Murad C. Proceedings of the 8th ACM Conference on Conversational User Interfaces. Designed for Interfaces, Not Conversations: The Limits of Usability Heuristics in GenAI Chatbot Assessment View
  2. Albikawi Z, Abuadas M, Saifan A, Ahmed F. 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC). Large Language Models for Mental Health Support in Arabic-Speaking Populations: Cultural Adaptation, Challenges, and Ethical Considerations: A Perspective View