Latest AI and machine learning research in anxiety & stress for healthcare professionals.
BACKGROUND: Somatic symptom disorder (SSD) is associated with an elevated risk of suicidality. However, clinically implementable tools to identify outpatients with SSD who may warrant prioritized suicidality assessment remain limited. We therefore aimed to develop an interpretable model using routinely available outpatient data to stratify the likelihood of past-year self-reported suicidality. MET...
Bioactive clusters exhibit diverse biological activities, including biocatalytic and optical activities, photothermal and photodynamic effects. These activities can be precisely tuned owing to the clusters' well-defined atom structures, which improve their biomedical applications, such as disease therapy, bioimaging, and targeted drug delivery. In this review, we summarize the classification and b...
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...
Systemic barriers, including language, navigation complexity, and long specialist wait-times, result in the under-utilization of mental health service...
BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals ...
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: Counterfeit Botulinum Toxin A (BoNT-A) poses a growing global threat, particularly in aesthetic medicine where regulatory oversight is min...