Anxiety & Stress

Discordance Between Textual Reasoning and Visual Interpretation in Large Language Models for Low Back Pain: Cross-Sectional Quantitative Evaluation and Exploratory Multimodal Stress Test.

BACKGROUND: Large language models (LLMs) are rapidly evolving from text-based agents to multimodal systems capable of interpreting medical images. While their textual reasoning has improved, the safety implications of this shift remain underexplored, specifically regarding the alignment between visual interpretation and textual advice in low back pain (LBP) management. OBJECTIVE: This study aims t...

Methodologies for Perioperative Stress Assessment in Surgeons: A Systematic Review.

INTRODUCTION: Surgeons are frequently exposed to psychological stress across the perioperative trajectory, which may affect surgeons' well-being and patient safety. Recent advances in wearable sensing, multimodal data analysis, and machine learning have expanded the methodological approaches available for perioperative stress assessment. However, a comprehensive synthesis of these methodological d...

Integrative transcriptomic and experimental analyses prioritize TPT1 as a PANoptosis-associated candidate molecular marker in sarcopenia.

BACKGROUND: Sarcopenia lacks sensitive molecular markers for early detection, and its relationship with integrated inflammatory cell-death programs re...

NRF2-mediated ferroptosis suppression defines a cancer-specific vulnerability in tumors.

NRF2 is a master regulator of redox and metabolic homeostasis that protects normal tissues from stress but is frequently hijacked by cancers to sustai...

Nanoscale Strategies for Improving Plant Salinity Tolerance.

Soil salinity poses a major threat to global food security, impairing plant physiology through ionic toxicity, osmotic stress, and oxidative damage. H...

Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment (TME) in which dysregulated mechanotransduction pr...

Machine Learning Models for Identifying Factors Associated With Workplace Violence Among Emergency Nurses: A Comparative Study.

OBJECTIVE: To develop and compare three machine learning models for identifying factors associated with workplace violence (WPV) among emergency depar...

From Locus of Control to Fear: How Intolerance of Uncertainty Shapes Young Arab Adults' Perceptions of Artificial Intelligence.

BACKGROUND: This cross-sectional study examines whether intolerance of uncertainty (IU) is indirectly associated with the relationship between interna...

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study.

BACKGROUND: Psychotherapy training is difficult to scale because manual rating of motivational interviewing (MI) and cognitive behavioral therapy (CBT...

Factors Influencing Nursing Internship Students' Readiness to Use AI: Cross-Sectional Study Using Neural Network Analysis.

BACKGROUND: Enhancing nursing students' awareness, attitudes, beliefs, and preparedness toward AI may help improve their health care knowledge and pra...

ResoMamba-LLM: multimodal physiological signal stress detection for wearable devices via Mamba and LLM reprogramming.

OBJECTIVE: The accuracy of psychological stress detection hinges upon the precision with which models capture complex and variable physiological respo...

Generate and Filter: A GNN-Based Approach for Graph Anomaly Detection.

Graph anomaly detection (GAD) aims to distinguish anomalies from the majority of normal nodes in graph-structured data. Due to its extensive real-worl...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Comparative evaluation of precision, morphology, and structural stability in AI-based dental crown design software programs.

STATEMENT OF PROBLEM: The design outcomes of dental crowns generated by artificial intelligence (AI)-based computer-aided design (CAD) systems have no...

Prediction in routine care: a naturalistic comparison of clinicians and a machine learning model for patients receiving treatment for generalised anxiety disorder.

OBJECTIVE: Approximately half of patients with generalised anxiety disorder (GAD) do not recover following psychological treatment. Accurate prognosti...

FireMaster 550 Differentially Alters Gene Expression Underlying Synaptic Function in Amygdala of Prairie Voles After Gestational or Lactational Exposure.

Neurodevelopmental disorders often share similar behavioral diagnostic criteria including socioemotional and cognitive deficits. The prairie vole is a...

Using AI to determine optimal cost-effective diagnostic pathways for chronic breathlessness.

Breathlessness is a common symptom in clinical practice, yet evidence for cost-effective strategies to diagnose the underlying health conditions causi...

Research on artificial intelligence in stress and obesity: A bibliometric analysis using scopus, web of science, PubMed.

OBJECTIVE: Stress and obesity are major health concerns affecting individuals worldwide. Artificial Intelligence (AI) is being designed to identify an...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

Building Machine Learning Models Based on Oxidative Stress Index Score to Predict Survival of Locally Advanced Rectal Cancer Receiving Different Neoadjuvant Therapy Patterns.

BACKGROUND: Liver enzyme biomarkers are known to contribute to the onset and progression of colorectal cancer. OBJECTIVE: To develop a novel oxidative...