Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress involves assessing an individual's physiological and psychological responses to stressors, which is crucial for human well-being. Physiological signal-based stress assessment offers greater accuracy and objectivity compared to traditional methods. To enhance stress level detection, we propose a novel ap...
Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. However, current noninvasive diagnostic methods face significant challenges in reliably distinguishing benign from malignant nodules. Thus, there is an urgent need for novel molecular biomarkers or pathways to facilitate accurate identification of truly malignant LNs. Using the Gene Expression Omnibus (G...
Online videos are vital for health education and medical decision-making, but their comment sections often spread misinformation, causing anxiety and ...
Mental stress is a prevalent issue in modern society, and detecting and classifying it accurately is crucial for effective interventions and treatment...
The movement of overburden strata under valley geomorphological conditions presents significant challenges for ground pressure control and the protect...
BACKGROUND: Artificial Intelligence (AI) integration in healthcare education represents a critical technological advancement that requires careful exa...
BACKGROUND: AI learning anxiety and job substitution anxiety hinder the use of AI in healthcare. Primary nurses lack training resources, a strong sens...
BACKGROUND: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptanc...
BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent reward-seeking behaviors, leading to serious physical...
Stress responses in biological systems arise from complex, dynamic interactions among genes, proteins, and metabolites. A thorough understanding of th...
Drug-induced cardiotoxicity poses a significant risk to human health, and reliable predictive models are needed for safety assessment. In this study, ...
Loneliness, social isolation, and anxiety affect millions of people across the world. Communication technologies, including artificial intelligence (A...
The occurrence of rockburst is closely related to the strength and stress conditions of rock mass. The Lalin Railway tunnel in China was taken as an e...
Selective serotonin reuptake inhibitors (SSRIs) like sertraline are crucial in treating depression and anxiety disorders, and studies indicate their p...
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide ac...
Contamination of farmland with heavy metals (HMs), particularly arsenic, cadmium, and lead, poses significant risks to human health and food security,...
INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burden...
To better understand the consequences of stress in realistic scenarios, police cadets were tasked with performing a police intervention under differin...
BACKGROUND: Disinformation on social media can seriously affect mental health by spreading false information, increasing anxiety, stress, and confusio...
Pollinator populations are declining globally at an unprecedented rate, driven by factors such as pathogens, habitat loss, climate change, and the wid...