Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study

Through this work, we contributed insights into the mental health professional perspective on the design of chatbots used for mental health and underscore the necessity of ongoing critical assessment and iterative refinement to maximize the benefits and minimize the risks associated with integrating AI into mental health support.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-04-25
DOI
https://doi.org/10.2196/67114
Citations
5
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
7.72
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article

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study

Kevin Doherty, Kayley Moylan
5 citations
Journal of Medical Internet Research
Digital Mental Health Interventions
7.72
article

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study

Kevin Doherty, Kayley Moylan
article en
5 citations

Abstract

Through this work, we contributed insights into the mental health professional perspective on the design of chatbots used for mental health and underscore the necessity of ongoing critical assessment and iterative refinement to maximize the benefits and minimize the risks associated with integrating AI into mental health support.

Journal of Medical Internet ResearchVol. 27
University College Dublin (IE)
Openalex Percentile: Top 3%
Digital Mental Health Interventions
7.72
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Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study — Kevin Doherty, Kayley Moylan · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS