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Artificial intelligence for mental health: A narrative review of applications, challenges, and future directions in digital health
15 references·2 citing·51 second hop
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(2010)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The risks of using ChatGPT to obtain common safety-related information and advice (2023)LEVERAGING ARTIFICIAL INTELLIGENCE FOR ENHANCED SUPPLY CHAIN OPTIMIZATION: A COMPREHENSIVE REVIEW OF CURRENT PRACTICES AND FUTURE POTENTIALS (2024)A power primer. (1992)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Interrater reliability: the kappa statistic (2012)“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health (2024)Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. (2025)Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis (2019)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review (2025)Emotionally adaptive support: a narrative review of affective computing for mental health (2025)Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support (2025)Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis (2019)Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021)The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021)Transdiagnostic-focused apps for depression and anxiety: a meta-analysis (2025)Efficacy of a Conversational AI Agent for Psychiatric Symptoms and Digital Therapeutic Alliance (2026)
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References

  • 2019Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy854 cited
  • 2017Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning800 cited
  • 2023Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being592 cited
  • 2022Natural language processing applied to mental illness detection: a narrative review474 cited
  • 2019Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety433 cited
  • 2025The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality318 cited
  • 2022A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health263 cited
  • 2021Artificial Intelligence–Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial200 cited
  • 2019Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review194 cited
  • 2024Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact169 cited
  • 2023AI Chatbots in Digital Mental Health168 cited
  • 2025The application of artificial intelligence in the field of mental health: a systematic review118 cited

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  • 2022Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study110 cited
  • 2024Can AI replace psychotherapists? Exploring the future of mental health care97 cited
  • 2024Art therapy as a therapeutic resource integrated into mental health programmes: Components, effects and integration pathways11 cited
  • Cited by

    • 2026Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar4 cited
    • 2026Artificial intelligence mediated emotional support in mental health and its ethical and governance implications in digital public health3 cited