Psychiatry

Anxiety & Stress

Latest AI and machine learning research in anxiety & stress for healthcare professionals.

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Showing 190-210 of 3,585 articles
Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD.

Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed ...

Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.

Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating hi...

Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.

AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hosp...

Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term ch...

Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic.

BACKGROUND: Combining data-driven natural language processing techniques with traditional methods us...

MechBERT: Language Models for Extracting Chemical and Property Relationships about Mechanical Stress and Strain.

Language models are transforming materials-aware natural-language processing by enabling the extract...

Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.

The increasing impacts of climate change on global agriculture necessitate the development of advanc...

Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides a...

The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety.

INTRODUCTION: This study investigated the role of generative Artificial Intelligence (AI) in enhanci...

Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder.

BACKGROUND: Generalized Anxiety Disorder (GAD) is a chronic condition. Enabling the prediction of in...

Deep learning based prediction of depression and anxiety in patients with type 2 diabetes mellitus using regional electronic health records.

BACKGROUND: Depression and anxiety are prevalent mental health conditions among individuals with typ...

Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

: Recent research has focused on exploring the relationships between various factors associated with...

Identifying Neuro-Inflammatory Biomarkers of Generalized Anxiety Disorder from Lymphocyte Subsets Based on Machine Learning Approaches.

INTRODUCTION: Activation of the inflammatory response system is involved in the pathogenesis of gene...

Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat ( L.).

Phytochromes are essential photoreceptors in plants that sense red and far-red light, playing a vita...

Your brain on art, nature, and meditation: a pilot neuroimaging study.

OBJECTIVES: Exposure to art, nature, or meditation, all transcending human experiences, has benefici...

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