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Artificial intelligence and machine learning in mobile apps for mental health: A scoping review

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References

2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
2018Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach11,351 cited
2010CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials8,873 cited
2017Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial2,713 cited
2011CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions1,858 cited
2013Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review1,135 cited
2018An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study1,061 cited
2019The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis of randomized controlled trials807 cited
2018Treatment gap for anxiety disorders is global: Results of the World Mental Health Surveys in 21 countries715 cited
2020User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis461 cited
2019Standalone smartphone apps for mental health—a systematic review and meta-analysis447 cited
2020AI in mental health406 cited
2017

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A fully automated conversational agent for promoting mental well-being: A pilot RCT using mixed methods

367 cited

2020Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses336 cited

2016Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild333 cited

2017Evidence-based apps? A review of mental health mobile applications in a psychotherapy context.217 cited

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2024Gender differences in preferences for mental health apps in the general population – a choice-based conjoint analysis from Germany15 cited
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