AIMC Topic: Mental Health Services

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Understanding the Needs of Moderators in Online Mental Health Forums: Realist Synthesis and Recommendations for Support.

JMIR mental health
BACKGROUND: There has been an increase in the use of online mental health forums to support mental health. These forums are often moderated by trained moderators to ensure a safe, therapeutic environment. While the moderator role is rewarding, it can...

Development of a Recommendation Engine to University Student Mental Health Support Aligned With Stepped Care: Longitudinal Cohort Study.

Journal of medical Internet research
BACKGROUND: Mental health challenges are prevalent among Canadian higher education students, with significant rates of depression and anxiety often going untreated due to reduced early detection, stigmatizing beliefs, and practical barriers. The U-Fl...

Practitioner Perspectives on the Uses of Generative AI Chatbots in Mental Health Care: Mixed Methods Study.

JMIR human factors
BACKGROUND: Generative artificial intelligence (AI) chatbots have the potential to improve mental health care for practitioners and clients. Evidence demonstrates that AI chatbots can assist with tasks such as documentation, research, counseling, and...

Self-disclosure and relational agents for mental health: a scoping review protocol.

BMJ open
INTRODUCTION: Relational agents are an innovative form of Artificial Intelligence (AI) that can help address waiting times for mental health services. They often appear in the form of chatbots that provide responses to patient questions via web or mo...

Can GPT-4 provide human-level emotion support? Insights from machine learning-based evaluation framework.

Computers in biology and medicine
The global shortage of mental health services has sparked considerable interest in leveraging generative artificial intelligence (AI) to address psychological health challenges. This study systematically evaluates the emotional support capabilities o...

Early-stage assessment of investigational digital technologies in mental health: a guide for innovators.

Psychiatry research
Digital technologies, including artificial intelligence, hold great promise for transforming mental health care by enhancing diagnosis, personalizing treatments, and improving patient support. However, many innovations fail to reach clinical practice...

Users' Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale.

JMIR mHealth and uHealth
BACKGROUND: Mental health is an essential element of life. However, existing mental health services face challenges in utilization due to issues such as societal prejudices and a shortage of counselors. Mobile health is gaining attention as an altern...

Using Machine Learning to Match Clients and Therapy Providers: Evaluating Clinical Quality and Cost of Care.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: Matching clients in need of mental healthcare with providers who will deliver high quality treatment presents a substantial challenge. Machine learning models hold potential for predicting the best pairings from a multitude of data points...

Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

JMIR human factors
BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with ...

The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis.

Asian journal of psychiatry
OBJECTIVE: Generative Artificial Intelligence (GAI) has emerged as a promising and innovative technological advancement that can increase access to mental health care services with its powerful natural language processing capabilities. Preliminary fi...