Latest AI and machine learning research in anxiety & stress for healthcare professionals.
BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains unclear. Most studies treat AI users as homogeneous, overlooking heterogeneity in GenAI use. This study identified latent profiles of GenAI use among Chinese college students and examined their associations with depression and anxiety. METHODS: A cr...
External stimuli can induce stress-related physiological states characterized by rapid autonomic and cardiovascular fluctuations and slower endocrine-related biochemical responses. To address this challenge, we developed an integrated wearable biosensor platform coupled with machine-learning-assisted interpretation for rest versus stress assessment, with labels defined by baseline and task phases....
Understanding and optimizing blood flow behavior in curved vessels is crucial for improving cardiovascular treatment planning and reducing complicatio...
Defined microbial communities (DMCs; also known as SynComs) offer a promising strategy to enhance plant growth and stress tolerance by harnessing bene...
BACKGROUND: Refugees and forcibly displaced populations experience elevated rates of mental health conditions, including posttraumatic stress disorder...
AIMS: Epigenetic regulation of the oxytocin receptor gene (OXTR), particularly DNA methylation (DNAm), has been linked to insecure attachment, anxiety...
Law enforcement tactical training places sustained cognitive and emotional demands on recruits, making stress regulation a critical determinant of lea...
INTRODUCTION: We examined whether machine learning identified baseline variables that predicted two-year prevention and remission from anxiety, depres...
BACKGROUND: This study aimed to develop a machine-learning model using self-report questionnaires to screen for clinically significant anxiety symptom...
BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...
OBJECTIVE: Emotion regulation influences psychological responses to trauma, with event-related rumination affecting the development of posttraumatic s...
PURPOSE: This study examined generative artificial intelligence (AI) as an emerging cognitive assistive technology for adults with dyslexia. Specifica...
BACKGROUND: Climate change poses a growing threat to chickpea production through abiotic stresses such as drought, heat, and salinity. Understanding t...
BACKGROUND: Natural language processing and large language model systems are increasingly used to support mental health documentation, screening, and ...
Music performance anxiety (MPA) is widespread among music students, underscoring the need to clarify its key predictors, mediation pathways, and group...
Artificial Intelligence (AI) tools have been found to influence English language learning. However, there is scant research on the role of AI literacy...
INTRODUCTION: Average glandular dose (Dg) is the primary metric for assessing radiation risk in screening mammography. Although Dg analysis is commonl...
The residual stress is an important factor affecting the performance, durability and failure behaviour of High Velocity Oxy-Fuel (HVOF) sprayed based ...
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by...
Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-...