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

Editorial (11) Mobile Health (mhealth) (5315) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3375) Artificial Intelligence (5054) Generative Language Models Including ChatGPT (1648)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/104118, first published .
Laptop screen displaying "Mental Health" with a green cross in a silhouette of a head.

Digital Mental Health Research Priorities, Revisited for the AI and Large Language Model Era

Digital Mental Health Research Priorities, Revisited for the AI and Large Language Model Era

Authors of this article:

Max Valentin Birk1 Author Orcid Image ;   Shruti Kochhar2 Author Orcid Image ;   Keris Myrick3 Author Orcid Image ;   Stephen M Schueller4 Author Orcid Image ;   John Torous3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Wu C, Lou N. Optimising AI-mediated wellness interventions’ design, engagement, and adaptation: Introducing the AI-DEA framework for mental health support and psychological change. Journal of Psychology and AI 2026;2(1) View
  2. Liu J, Chen X, Cai J, Luo X, Xiao W, Deng J. Context presentation and native conversation structure in large language model responses to escalating suicide risk: a controlled multimodel evaluation. Frontiers in Psychiatry 2026;17 View
  3. Xiao W, Cao X, Jin W, Chen X, Cai J, Luo X, Deng J. Psychological support for depression and anxiety across chronic illness contexts: a comparative evaluation of three general-purpose AI chatbots. Frontiers in Psychiatry 2026;17 View