Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often invasive and lack sensitivity, rendering them inadequate for continuous monitoring of subtle plant stress responses. In this study, we develop a non-destructive near-infrared-II (NIR-II) fluorescent nanosensor for real-time detection of stress-related ...
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indicate that work-stress contributes to severe mental strain, increased accident rates, and in extreme cases, even suicides. This study aims to enhance early detection of occupational stress through machine learning (ML) methods, providing stakeholders wi...
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge ab...
BACKGROUND: The Stress Hyperglycemia Ratio (SHR) reflects stress-related hyperglycemia and is linked to poor outcomes in various diseases. This study ...
Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ), yet its efficacy and underlying mechanisms remai...
BACKGROUND: Internet-delivered cognitive behavioural therapy (ICBT) is an effective and accessible treatment for mild to moderate depression and anxie...
Advances in diabetes technologies such as continuous glucose monitoring (CGM) have provided significant opportunities to improve glycemic and quality-...
Occupational exposures are critical factors affecting workers' reproductive health. This study investigates the impact of magnetic fields, electric fi...
Hyperspectral imaging has been used to determine plant stress status. However, the biological interpretation of the spectral changes remain less explo...
BACKGROUND: Early detection of esophageal squamous cell carcinoma (ESCC) significantly improves survival rates, yet reliable biochemical biomarkers fo...
Transcranial direct current stimulation (tDCS) as a non-invasive stimulation is still in the experimental stage for many psychiatric disorders even in...
Biosensor-based, real-time stress detection has generated clinical interest for the purpose of driving just-in-time interventions that support recover...
Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down syndrome (DS), and the general increased risk for ...
Metabolic dysfunction-associated steatohepatitis (MASH) is a complex liver disease whose pathogenesis involving endoplasmic reticulum (ER) stress and ...
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arable land by causing ionic and osmotic imbalances in...
BACKGROUND: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy, presenting significant challenges in accurately predicting patient prog...
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA recepto...
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful c...
BACKGROUND: Unhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidative stress, unnaturalized free radicals can damage ...
Artificial intelligence (AI) is transforming digital health, its influence is expanding across multiple sectors, with mental health and psychiatric ca...