Psychiatry

Anxiety & Stress

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

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Showing 1009-1029 of 3,594 articles
Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-...

Future perspectives of robot psychiatry: can communication robots assist psychiatric evaluation in the COVID-19 pandemic era?

PURPOSE OF REVIEW: Direct face-to-face interview between a psychiatrist and a patient is crucial in ...

Kidney dysfunction and oxidative stress in doxorubicin-induced nephrotic rat: Protective role of sesame oil.

Doxorubicin (DOX) is an antineoplastic agent which it's clinical use has been limited due to its maj...

Antimicrobial, Cytotoxic and Oxidative Stress Inhibitory Activities of Terpenoids and Flavonols from (Oliv.) P.J.H. Hurter.

(knob thorn) is a deciduous tree distributed in savannah regions from Tanzania to South Africa used...

Rapid prediction of drug inhibition under heat stress: single-photon imaging combined with a convolutional neural network.

A method of predicting cellular drug inhibition due to heat stress is presented. Black phosphorus na...

Phonetic variability constrained bottleneck features for joint speaker recognition and physical task stress detection.

Normalizing intrinsic variabilities (e.g., variability in speech production brought on by aging, phy...

Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning.

Predicting one's mood, health, and stress in the future may provide useful feedback before wellbeing...

Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.

Stress analysis and assessment of affective states of mind using ECG as a physiological signal is a ...

Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks.

At present, only professional doctors can use the professional scales to diagnose depression and anx...

Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio ...

Outcomes of a Robot-Assisted Social-Emotional Understanding Intervention for Young Children with Autism Spectrum Disorders.

This study is a randomized control trial aimed at testing the role of a human-assisted social robot ...

[Theoretical Review of Robot Anxiety].

The aim of the study is to describe the effect of robot anxiety. The forming of the concept and the ...

Targeted prescription of cognitive-behavioral therapy versus person-centered counseling for depression using a machine learning approach.

OBJECTIVE: Depression is a highly common mental disorder and a major cause of disability worldwide. ...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

The Language of LGBTQ+ Minority Stress Experiences on Social Media.

LGBTQ+ (lesbian, gay, bisexual, transgender, queer) individuals are at significantly higher risk for...

Optimizing Probability Threshold of Convolution Neural Network to Improve HRV-based Acute Stress Detection Performance.

As stress is linked to numerous emotional and physical conditions, its timely detection and proper m...

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices.

Monitoring stress and, in general, emotions has attracted a lot of attention over the past few decad...

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness.

Accurately forecasting well-being may enable people to make desirable behavioral changes that could ...

Detection of Stressful Situations Using GSR While Driving a BCI-controlled Wheelchair.

This paper analyzes the galvanic skin response (GSR) recorded from healthy and motor disabled people...

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