Latest AI and machine learning research in anxiety & stress for healthcare professionals.
BACKGROUND: Meta-therapy (MT) is a powerful dialogue-based element of voice therapy that scaffolds patients' cognitive models of treatment. MT dialogues have not historically been taught in an explicit manner, and substantial variability in identifying MT exists within and across clinicians. This low reliability is problematic for empirical research and educational transfer. Harnessing contemporar...
BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines the stability of the nursing workforce, and jeopardizes patients' safety. The study aimed to analyze the prevalence and symptom characteristics of CF among ORNs, construct and compare predictive models using machine learning, and determine the relat...
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive liver malignancy characterized by an adverse outcome attributed to delayed d...
BACKGROUND: Acute myocardial infarction (AMI) is a leading cause of death worldwide, with oxidative stress (OS) playing a central role in its pathogen...
Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been...
Knee contact-stress hotspots are closely linked to meniscal/cartilage injury risk. Still, high-fidelity subject-specific FEA is too computationally ex...
BACKGROUND: The stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute glycemic fluctuations, with established roles in car...
Abiotic stresses such as heat waves significantly reduce wheat productivity by altering leaf anatomy and physiology, leading to reduced photosynthetic...
BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns ab...
We present the deep energy method enhanced by stress equilibrium (DEM-SE), a physics-informed neural network (PINN) architecture for high-precision pr...
BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated...
BACKGROUND: Evidence-based psychological interventions are usually not accessed by marginalized groups such as refugees. Culturally adapted psychologi...
The case of mental health disorders has been a main topic in the clinical and psychological field. The advancement of computing studies, especially in...
Transcriptomic analyses of environmental stress responses in Synechocystis sp. PCC 6803 are often constrained by limited sample sizes, pronounced clas...
As a core component of negative affectivity, high trait anxiety (HTA) elevates the risk of the onset of depressive disorders through impaired emotion ...
Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to anthropogenic factors and the acc...
The rapid integration of artificial intelligence (AI) into higher education is producing divergent learning behaviors, as student AI anxiety appears t...
PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for ca...
Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions ...
Fibromyalgia involves widespread musculoskeletal pain and hypersensitivity, often accompanied by neurological, cognitive, and affective disturbances. ...