AIMC Topic: Mental Health Services

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Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review.

JMIR mental health Feb 21, 2025
BACKGROUND: Conversational artificial intelligence (CAI) is emerging as a promising digital technology for mental health care. CAI apps, such as psychotherapeutic chatbots, are available in app stores, but their use raises ethical concerns.
Mental Disorders Mental Health Services Humans Artificial Intelligence
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The application of artificial intelligence in the field of mental health: a systematic review.

BMC psychiatry Feb 14, 2025
INTRODUCTION: The integration of artificial intelligence in mental health care represents a transformative shift in the identification, treatment, and management of mental disorders. This systematic review explores the diverse applications of artific...
Artificial Intelligence Mental Disorders Mental Health Humans Mental Health Services
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Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications.

Psychological medicine Feb 6, 2025
Artificial intelligence (AI) has been recently applied to different mental health illnesses and healthcare domains. This systematic review presents the application of AI in mental health in the domains of diagnosis, monitoring, and intervention. A da...
Machine Learning Mental Disorders Mental Health Services Humans Artificial Intelligence
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Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review.

JMIR research protocols Jan 29, 2025
BACKGROUND: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are...
Reproducibility of Results Mental Health Mental Health Services Humans Research Design Language Natural Language Processing Large Language Models Scoping Review as Topic
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The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.

Journal of medical Internet research Jan 24, 2025
BACKGROUND: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide su...
Humans Artificial Intelligence Mental Disorders Decision Support Systems, Clinical Mental Health Services Decision Making
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Time series forecasting of bed occupancy in mental health facilities in India using machine learning.

Scientific reports Jan 21, 2025
Machine learning models are vital for forecasting and optimizing healthcare parameters, especially in the context of rising mental health issues in India and globally. With increasing demand for mental health services, effective resource management, ...
India Humans Bed Occupancy Mental Health Services Machine Learning Hospitals, Psychiatric Forecasting
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Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis.

BMC psychiatry Dec 23, 2024
BACKGROUND: This study investigated socio-demographic, psychiatric, and psychological characteristics of patients with high versus low utilization of psychiatric inpatient services. Our objective was to better understand the utilization pattern and t...
Switzerland Patient Acceptance of Health Care Hospitals, Psychiatric Middle Aged Humans Mental Health Services Adult Female Machine Learning Inpatients Cross-Sectional Studies Hospitalization Mental Disorders Male Aged
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AI-enabled clinical decision support tools for mental healthcare: A product review.

Artificial intelligence in medicine Dec 6, 2024
The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decision Support Systems (AI-CDSS) for mental healthcare. From 84 potential products, seven fulfilled the inclusion criteria. The products can be categorize...
Humans Artificial Intelligence Autism Spectrum Disorder Decision Support Systems, Clinical Mental Health Services
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Patient Health Questionnaire Outcome Assessment, Health Care Veterans Outpatients Mental Health Services Area Under Curve Latent Class Analysis Humans Adolescent Machine Learning Female Stress Disorders, Post-Traumatic ROC Curve Retrospective Studies Reproducibility of Results Male Aged, 80 and over United States Middle Aged Aged Young Adult Treatment Outcome Depression Adult
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Public Perception on Artificial Intelligence-Driven Mental Health Interventions: Survey Research.

JMIR formative research Nov 28, 2024
BACKGROUND: Artificial intelligence (AI) has become increasingly important in health care, generating both curiosity and concern. With a doctor-patient ratio of 1:834 in India, AI has the potential to alleviate a significant health care burden. Publi...
Mental Health Services Perception Mental Health Public Opinion Female Surveys and Questionnaires Humans Male Young Adult Adolescent Artificial Intelligence Middle Aged Adult India
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