Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, we introduce a novel attention-shifting method based on a closed-loop, artificial intelligence (AI)-driven, wearable mindfulness brain-computer interf...
BACKGROUND: Mental health disorders are a growing public health concern among university students globally and in India, exacerbated by stigma and limited access to care. Mobile health (mHealth) apps offer a potential solution, but user engagement and cultural relevance remain key challenges. This pilot study evaluated Here for You, a mental health screening app co-designed with Indian university ...
Physically unclonable functions (PUFs) offer intrinsic security for next-generation authentication systems, yet current optical PUFs face a trilemma-s...
MOTIVATION: G-quadruplex-binding proteins (G4BPs) play key roles in RNA metabolism and stress response, yet their identification remains experimentall...
BACKGROUND: Pulmonary arterial hypertension (PAH) is a lethal vascular disorder characterized by irreversible remodeling of the pulmonary arteries, bu...
IMPORTANCE: Depression most commonly first emerges during adolescence, making early prevention critical. While school-based mindfulness training (SBMT...
OBJECTIVE: Aspartame, a widely used artificial sweetener, has attracted increasing attention for its potential systemic and oral toxicity. However, th...
BACKGROUND: Somatic symptom disorder (SSD) is associated with an elevated risk of suicidality. However, clinically implementable tools to identify out...
Bioactive clusters exhibit diverse biological activities, including biocatalytic and optical activities, photothermal and photodynamic effects. These ...
BACKGROUND AND OBJECTIVE: Stress is a physiological response mechanism that enables humans to react to perceived threats through a fight-or-flight res...
PURPOSE: Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactio...
This study examines the relationship between Conversational Artificial Intelligence (CAI) usage and psychological outcomes-social anxiety, loneliness,...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in wo...
Preoperative anxiety is common among pediatric patients and is associated with adverse perioperative outcomes. This prospective single-arm pilot study...
Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress across neuro-endocrine, metabolic, cardiovascular and i...
AIM: This study aimed to examine the relationship between nursing students' attitudes toward artificial intelligence (AI) and their levels of AI-relat...
The mental health of workers is a crucial objective of occupational health and safety programs. Mental health issues in the workforce present a signif...
Oxidative stress is a central pathogenic process in the earliest stages of Alzheimer's disease (AD), promoting non-enzymatic protein modifications tha...
BACKGROUND: The rapid acceleration of large language models (LLMs) creates opportunities to expand the accessibility of mental health support; however...
RFID-ExSim is an experimental dataset designed for studying passive RFID systems under normal operating conditions and in adversarial attack scenarios...