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

Artificial Intelligence (2248) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2203) Clinical Information and Decision Making (2004) Tools, Programs and Algorithms (394)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71305, first published .
Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

Authors of this article:

Mathew Varidel1 Author Orcid Image ;   Victor An1 Author Orcid Image ;   Ian B Hickie1 Author Orcid Image ;   Sally Cripps2 Author Orcid Image ;   Roman Marchant2 Author Orcid Image ;   Jan Scott3 Author Orcid Image ;   Jacob J Crouse1 Author Orcid Image ;   Adam Poulsen1 Author Orcid Image ;   Bridianne O'Dea4 Author Orcid Image ;   Sarah McKenna1 Author Orcid Image ;   Frank Iorfino1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Xiaohui W, Lianghui C. Using the Bayesian Network Method to Evaluate the Effectiveness of College Students’ Mental Health Intervention Strategies and Their Impact on Academic Performance. Journal of Psychoeducational Assessment 2025 View
  2. Crocamo C. Rethinking artificial intelligence in psychiatry and mental healthcare: distinct needs, converging goals. BJPsych Advances 2026:1 View
  3. Schwirtlich T, Lee C, Beestrum M, Mohr D. Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications – A Systematic Review. ACM Transactions on Computing for Healthcare 2026 View