Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks
AI technologies, when integrated with human oversight, offer transformative potential for global mental health systems by creating interconnected and adaptive care networks. These technologies can enhance efficiency, reduce barriers to care and support data-driven public health strategies. However, successful deployment depends on clear ethical frameworks that promote transparency, respect cultural contexts and preserve human oversight. Future research should prioritize longitudinal studies, inclusive datasets and ethical frameworks that maintain human-centered values in AI-enabled mental health systems.
Authors
- Dingjing Shi (ORCID: https://orcid.org/0000-0002-5652-3818)
- Zahra Rezaei (ORCID: https://orcid.org/0000-0003-4762-7903)
- Yaser Mike Banad
- Atieh Khorraminia
Institutions
- Georgia Institute of Technology (US)
- University of Science and Technology of Mazandaran (IR)
- University of Oklahoma (US)
Publication Details
- Journal
- Digital Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/20552076261421688
- Citations
- 1
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 40.10