AIMC Topic: Mental Health
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Mental Health Issues and 24-Hour Movement Guidelines-Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach.
Journal of medical Internet research
Jun 13, 2025
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challenges among college students, highlighting the critical need for effective intervention approaches.
The need for research on AI-driven social media and adolescent mental health.
Asian journal of psychiatry
Jun 1, 2025
The increasing integration of artificial intelligence (AI) in social media platforms has transformed digital interactions, particularly among adolescents. AI-driven algorithms curate highly personalized content, reinforcing behavioral patterns and op...
Ai-Aun Chatbot: A Pilot Study on the Effectiveness of an Artificial Intelligence Intervention for Mental Health Among Thai Older Adults.
Nursing & health sciences
Jun 1, 2025
Mental health disorders are a significant concern for older adults. Technology has the potential to provide support and companionship, which may improve mental health outcomes. This pilot experimental study explored the feasibility and potential effe...
Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial.
Journal of medical Internet research
May 23, 2025
BACKGROUND: General awareness and exposure to generative artificial intelligence (AI) have increased recently. This transformative technology has the potential to create a more dynamic and engaging user experience in digital mental health interventio...
Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK.
Studies in health technology and informatics
May 15, 2025
This study explores how the integration of predictive models with machine learning and natural language processing can optimise community-based service operations, using Timebanking UK as a case study. The research evaluated these models in terms of ...
Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.
JMIR mental health
May 15, 2025
BACKGROUND: The global shortage of mental health professionals, exacerbated by increasing mental health needs post COVID-19, has stimulated growing interest in leveraging large language models to address these challenges.
Effectiveness of AI-Driven Conversational Agents in Improving Mental Health Among Young People: Systematic Review and Meta-Analysis.
Journal of medical Internet research
May 14, 2025
BACKGROUND: The increasing prevalence of mental health issues among adolescents and young adults, coupled with barriers to accessing traditional therapy, has led to growing interest in artificial intelligence (AI)-driven conversational agents (CAs) a...
Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care.
Journal of medical Internet research
May 13, 2025
BACKGROUND: Escalating mental health demand exceeds existing clinical capacity, necessitating scalable digital solutions. However, engagement remains challenging. Conversational agents can enhance engagement by making digital programs more interactiv...
Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies.
JMIR public health and surveillance
May 12, 2025
BACKGROUND: Converging evidence indicates an adolescent mental health crisis in Western societies that has developed and exacerbated over the past decade. The proposed driving factors of this trend include more screen time, physical inactivity, and s...
Machine learning-based predictive modelling of mental health in Rwandan Youth.
Scientific reports
May 8, 2025
Globally, mental disorders are a significant burden, particularly in low- and middle-income countries, with high prevalence in Rwanda, especially among survivors of the 1994 genocide against Tutsi. Machine learning offers promise in predicting mental...
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