Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Systemic barriers, including language, navigation complexity, and long specialist wait-times, result in the under-utilization of mental health services by newcomers and significant gaps in timely care for anxiety and depression. This paper proposes an integrated, hybrid-federated AI triage and referral architecture that bridges system silos, connecting primary care, settlement and community resour...
BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals living with cancer, who often assume central roles in care coordination, treatment adherence, symptom monitoring, and emotional support. Rates of distress among caregivers frequently equal or exceed those observed in patients themselves. Despite incr...
ObjectiveTo investigate how varying workload intensity and personalized conditions influence physiological stress responses and task efficiency in hum...
BACKGROUND: Depression and anxiety are common and burdensome. Objective movement assessment may complement questionnaires by providing low burden scre...
OBJECTIVE: Robot-assisted therapy (RAT) has shown promise in post-stroke motor recovery. However, its effects on non-motor outcomes remain unclear. Th...
BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insu...
BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of...
BACKGROUND: Counterfeit Botulinum Toxin A (BoNT-A) poses a growing global threat, particularly in aesthetic medicine where regulatory oversight is min...
The rapid advancement of artificial intelligence (AI) has reshaped the employment market, triggering widespread anxiety among college students about t...
Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as well as contributions from other environmental an...
The ability to endure psychosocial stressors is critical for mental and physical well-being. Clarifying mechanisms that differentiate high- from low-t...
Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promis...
Diethyl phthalate (DEP) is a ubiquitous environmental endocrine-disrupting chemical (EDC). Epidemiological studies have suggested a potential associat...
OBJECTIVES: Particulate matter (PM) is well established as an environmental hazard linked to an increased risk of disease. Although numerous studies h...
BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-motor symptoms. Mental and behavioural non-motor s...
Drought stress is among the most critical threats to global food security, and its complex impact on plant physiology often exceeds the reach of tradi...
Generalized anxiety disorder (GAD) and major depressive disorder (MDD) frequently co-occur and are marked by greater chronicity, severity, and poorer ...
AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self...
Callous-unemotional (CU) traits (i.e., blunted affect, low guilt) develop through the interplay of neurophysiological and environmental factors. Howev...
Traditional mechanistic models for Listeria monocytogenes prediction face limitations in capturing synergistic environmental interactions and nonlinea...