Anxiety & Stress

Psychological Alterations in Youths with Type I Diabetes: Associations with Salivary Cortisol Concentration.

Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolescents, and is associated with stress and other psychological alterations. This study aims to assess psychological and sleep disorders and health-related quality of life in young people with T1DM and to determine the relationship between these parameters and levels of salivary cortisol, a hormone widel...

Comparing clinical decision-making of AI technology to a multi-professional care team in an electronic cognitive behavioural therapy program for depression: protocol.

INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million people globally. Despite its high prevalence and debilitating effects, only one-third of patients newly diagnosed with depression initiate treatment. Electronic cognitive behavioural therapy (e-CBT) is an effective treatment for depression and is a feasible solution to make mental health care more acce...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can be managed with supportive care and close monitorin...

Toward explainable AI (XAI) for mental health detection based on language behavior.

Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particular are paving the new way forward for the automat...

Stress Monitoring in Free-Living Environments.

Stress monitoring is an important area of research with significant implications for individuals' physical and mental health. We present a data-driven...

Explainable stress type classification captures physiologically relevant responses in the Maastricht Acute Stress Test.

INTRODUCTION: Current stress detection methods concentrate on identification of stress and non-stress states despite the existence of various stress t...

Clinical decision-making in benzodiazepine deprescribing by healthcare providers vs. AI-assisted approach.

AIMS: The aim of this study was to compare the clinical decision-making for benzodiazepine deprescribing between a healthcare provider (HCP) and an ar...

Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.

INTRODUCTION: Advances in wearable sensor technology have enabled the collection of biomarkers that may correlate with levels of elevated stress. Whil...

Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI.

Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproduct...

MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress.

Mental stress is an increasingly common psychological issue leading to diseases such as depression, addiction, and heart attack. In this study, an ear...

Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review.

Heavy metal pollution is becoming a prominent stress on plants. Plants contaminated with heavy metals undergo changes in external morphology and inter...

Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneo...

Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.

In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapte...

Effects of Prior Robot Experience, Speed, and Proximity on Psychosocial Reactions to a Soft Growing Robot.

OCCUPATIONAL APPLICATIONSAfter viewing video vignettes of human interactions with a novel soft growing robot, we found that participants reported fewe...

Ensemble Geometric Deep Learning of Aqueous Solubility.

Geometric deep learning is one of the main workhorses for harnessing the power of big data to predict molecular properties such as aqueous solubility,...

Reliability and validity of a widely-available AI tool for assessment of stress based on speech.

Cigna's online stress management toolkit includes an AI-based tool that purports to evaluate a person's psychological stress level based on analysis o...

Human Exposure Levels of Volatile Organic Compounds in E-waste Recycling Area: Get Insight into Impacts of Manipulation Mode and Associations with Oxidative Stress Markers.

There is currently a dearth of evidence regarding the impact of the manipulation mode on human occupational exposure to volatile organic compounds (VO...

Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.

BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment...

Machine learning-based classification analysis of knowledge worker mental stress.

The aim of this study is to analyze the performance of classifying stress and non-stress by measuring biosignal data using a wearable watch without in...

A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate.

In today's world, people suffer from many fatal maladies, and stress is one of them. Excessive stress can have deleterious effects on the health, brai...