Psychiatry

Use of a Conversational Agent for Training Mental Health Professionals in Suicide Safety Planning: Pilot Feasibility and Acceptability Study.

BACKGROUND: Safety planning is recognized as one of the most effective interventions for reducing suicidal behaviors. The quality of safety plans strongly depends on professional training, and traditional methods, such as role-playing, are time-consuming and offer limited opportunities for repetition across diverse patient profiles. Generative artificial intelligence (GenAI) may provide innovative...

Understanding University Students' Experiences of Engaging With AI and Apps for Their Mental Health and Well-Being: Qualitative Study.

BACKGROUND: Fully automated digital technologies, such as artificial intelligence (AI) and apps, provide a particularly promising way to promote and support mental health and well-being in university students due to their accessibility, scalability, and cost-effectiveness, among other factors. Nevertheless, they are currently impeded by suboptimal engagement and high dropout rates, limiting their ...

Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis.

BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal b...

Prenatal exposure to particulate matter and risk of autism spectrum disorder in children: a population-based cohort study in South Korea.

BACKGROUND: Prenatal exposure to particulate matter has been investigated as a potential environmental factor for autism spectrum disorder (ASD), but ...

From companion technologies to social care infrastructure: A multi-level perspective on loneliness-related support in dementia care in an era of artificial intelligence (AI).

Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatm...

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Identifying biomarkers for serious mental illnesses (SMI) has significant implications for early intervention and prevention. The current study uses m...

From molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.

The misuse of benzodiazepines (BZDs) and Z-drugs poses significant global public health challenges. This study maps the scientific evolution and parad...

Machine learning-based cross-sectional exploration of depression-chronic pain associations in chronic respiratory disease patients.

BACKGROUND: Chronic respiratory diseases (CRD) are a leading global cause of death, with high comorbidity rates of depression and chronic pain forming...

Social comparison contributes to work exhaustion in the context of workplace AI use: A three-wave follow-up study of Finnish workers.

BACKGROUND: The rise of artificial intelligence (AI) is transforming work tasks and social relations within organizations. Work exhaustion is increasi...

Modeling Individual Language Patterns and Psychological Constructs to Generate AI-Augmented Data for Scalable Psychological Assessment.

Scientific and systematic data collection and analysis have long been a crucial foundation in psychological assessment systems. It is only through thi...

AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.

BACKGROUND: Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise...

Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks.

Hardware realization of brain-inspired vision critically relies on neuromorphic devices that couple sensing, computation, and adaptive learning, yet s...

Digital Conversation Companions.

Advances in voice recognition and artificial intelligence (AI) could soon yield digital conversation companions-software that combines conversational ...

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

The structural and functional connectivity of the brain network is a combination of complex connections and interconnections among neurons of differen...

Compact Modeling of Pd-MoS2 Self-rectifying RRAM based on modulated Schottky barrier equation.

The rapid growth of artificial intelligence computing has intensified the demand for energyefficient hardware accelerators capable of large-scale matr...

Metaheuristic hyperparameter optimization of deep neural networks for demographic-aware autism spectrum disorder classification.

Autism Spectrum Disorder (ASD) classification from neuroimaging data poses significant challenges due to high data heterogeneity and the complexity of...

Dynamic models of occupational fatigue: a systematic review for risk management advancement.

BACKGROUND: Occupational fatigue is a major safety and health risk across work sectors. Because fatigue accumulates and fluctuates over time, effectiv...

Which machine learning algorithms are best at predicting eating disorder tendencies among nursing students in China?

BACKGROUND: Nursing students are at high risk for developing eating disorders (ED). However, methods for identifying ED tendencies within this group r...

The readiness-anxiety paradox in artificial intelligence adoption among nursing students: a multidimensional regression analysis.

AIM: This study examined the relationship between medical artificial intelligence readiness and AI-related anxiety among nursing students following su...

A machine learning-based analysis of chronotype and sleep quality as predictors of mental distress in university students.

This cross-sectional study aimed to investigate the combined effects of chronotype, Mediterranean diet adherence, and sleep quality on mental distress...