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.

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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
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article

Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks

Dingjing Shi, Zahra Rezaei, Yaser Mike Banad, Atieh Khorraminia
1 citations
Digital Health
Digital Mental Health Interventions
40.10
article

Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks

Dingjing Shi, Zahra Rezaei, Yaser Mike Banad, Atieh Khorraminia
article en
1 citations

Abstract

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.

Digital HealthVol. 12
Georgia Institute of Technology (US), University of Science and Technology of Mazandaran (IR), University of Oklahoma (US)
Partnerships for the goals
Openalex Percentile: Top 1%
Digital Mental Health Interventions
40.10
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