Anxiety & Stress

Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial.

BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternative treatment options. Generative artificial intelligence (AI) chatbots show promise for increasing access to mental health care, though more direct research is needed to establish their efficacy. OBJECTIVE: This pilot study aimed to test the efficacy ...

Multimodal brain imaging-based classification of functional constipation subtypes using machine learning.

Functional constipation (FC) is a common gastrointestinal condition often accompanied by anxiety and depression status (FCAD). Gastrointestinal symptoms in FCAD patients are not fully resolved with medication, and the responses to treatment can differ significantly from those of patients without anxiety and depression (FCNAD). Given the distinct effects of FC and mental status on brain function an...

Development of Mind-Body Interventions for the Emergency Department.

Emergency department (ED) visits are a common experience that most individuals will have across their lifetime. ED-based evaluation for acute complain...

Associations Between Perceived Stress and Sperm DNA Methylation Among Men Attending a Fertility Center.

BACKGROUND: Stress has been negatively associated with reproductive outcomes, including poor semen quality in men; however, the molecular mechanisms u...

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification...

Predicting Somatization Risk Among Infectious Disease Disaster Frontline Nurses Using Machine Learning.

This study aimed to identify key risk factors associated with high-somatization risk among frontline nurses responding to infectious diseases, utilizi...

Predicting student mental health through entropy-based features and interpretable cross-attention transformer networks.

Mental health is becoming a major concern for students in today's fast-changing world. Mental health challenges have impact on every aspect of life in...

The effect of robot-based interventions on depression in older adults with cognitive impairment: A systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness of robot-based interventions in improving depressive symptoms among older adults with cognitive impairment, and...

Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures.

BACKGROUND: Treatment-as-usual (TAU) conditions are intended to reflect the support typically received in routine treatment settings. For digital ment...

Decoding stress resilience in soybean: Regulatory networks and precision breeding under climate change.

Soybean (Glycine max L.), a key global source of protein and oil, is increasingly threatened by climate change-driven environmental stresses, includin...

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bon...

Copper stress responses in Scenedesmus obliquus-Bacillus subtilis Consortia: Machine Learning-Based prediction of copper removal.

Copper pollution in wastewater is an environmental issue that requires efficient and sustainable waste treatment methods. To improve the efficiency of...

Predicting CSR authenticity in healthcare organizations: an integrated SEM-IPMA-ANN approach through the lens of self-compassion theory.

PURPOSE: As healthcare business organizations face mounting pressure from civil society to act responsibly, they are expanding and strategically restr...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Mechanobiological design strategy for additively manufacturable tibial ankle implant for enhanced biomechanical and osseointegration performance: A finite element and machine learning approach.

The leading cause of revision surgeries in ankle arthroplasty is aseptic loosening of the tibial implant, resulting from adverse bone remodelling and ...

Analytical and AINN-based investigation of surface wave propagation in dry long bones with initial stress, magnetic field, and rotation effects.

This study presents a comprehensive analytical and artificial intelligence neural network (AINN)-based investigation of wave propagation in dry long b...

Motion-Steered Noise Management in Hearing Aids Reduces Listening Effort and Stress Indexed by Pupil Size and Heart Rate.

OBJECTIVES: Head and body movements influence real-world hearing outcomes, yet they are often overlooked in clinical evaluations of hearing aids. This...

User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.

BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly popular outlets for users seeking psychological supp...

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells.

BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a chall...

AI-Assisted Classical Piano Intervention for Enhancing Resilience, Mindfulness, and Emotional Processing in Young Adults With Mild-to-Moderate Anxiety or Depression.

Mental-health-oriented interventions increasingly require structured, scalable, and nonpharmacological formats that can strengthen psychological funct...