Psychiatry

Anxiety & Stress

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

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Towards fast and reliable estimations of 3D pressure, velocity and wall shear stress in aortic blood flow: CFD-based machine learning approach.

In this work, we developed deep neural networks for the fast and comprehensive estimation of the mos...

Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation.

Graph anomaly detection (GAD) has attracted increasing interest due to its critical role in diverse ...

Exploring equine behavior: Wearable sensors data and explainable AI for enhanced classification.

Understanding equine behavior through advanced monitoring technologies is crucial for improving anim...

Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety.

BACKGROUND: Artificial intelligence (AI) is increasingly used in healthcare interventions to provide...

Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.

Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growt...

Machine-learning meta-analysis reveals ethylene as a central component of the molecular core in abiotic stress responses in Arabidopsis.

Understanding how plants adapt their physiology to overcome severe and often multifactorial stress c...

Field-Portable Technology for Illicit Drug Discrimination via Deep Learning of Hybridized Reflectance/Fluorescence Spectroscopic Fingerprints.

Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug land...

AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy.

This study investigates plant stress assessment by integrating advanced sensor technologies and Arti...

Tracking Conditioned Fear in Pair-Housed Mice Using Deep Learning and Real-Time Cue Delivery.

Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that ari...

Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

Assessing the impact of low-temperature stress during anthesis stage on winter wheat grain development through computer vision and machine learning.

BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global...

Investigating the Use of Electrooculography Sensors to Detect Stress During Working Activities.

To tackle work-related stress in the evolving landscape of Industry 5.0, organizations need to prior...

The relationship between mindfulness and second language resilience among Chinese English majors: the mediating role of academic hope.

BACKGROUND: In light of the heightened expectations surrounding the development of foreign language ...

Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.

Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results...

A Systematic Review on Physiology-based Anxiety Detection using Machine Learning.

Anxiety disorder poses a significant challenge to mental health. Diagnosing anxiety is complicated d...

The effect of esketamine on perioperative anxiety and depressive symptoms in patients undergoing total hysterectomy.

AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive s...

Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.

BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinica...

The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview.

Recent years have seen a sharply rising interest in the scientific area dedicated to the study of th...

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