Psychiatry

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, ...

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.

The human factor plays a key role in the automotive field since most accidents are due to drivers' u...

A Scoping Review of the Use of Robotics Technologies for Supporting Social-Emotional Learning in Children with Autism.

This scoping review synthesises the current research into robotics technologies for promoting social...

ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique.

UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelop...

Editorial: Network science approaches to risk assessment of mental disorders and dementia.

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 b...

Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional...

Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach.

BACKGROUND: Depression and momentary depressive feelings are major public health concerns imposing a...

Connectome-based prediction of the severity of autism spectrum disorder.

BACKGROUND: Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Curr...

The leading global health challenges in the artificial intelligence era.

Millions of people's health is at risk because of several factors and multiple overlapping crises, a...

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 ...

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 growi...

Research Hotspots and Trends of Social Robot Interaction Design: A Bibliometric Analysis.

(1) Background: Social robot interaction design is crucial for determining user acceptance and exper...

A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms.

INTRODUCTION: Depression is the leading cause of worldwide disability, until now only 3% of patients...

Ensemble Geometric Deep Learning of Aqueous Solubility.

Geometric deep learning is one of the main workhorses for harnessing the power of big data to predic...

Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities.

Social media has become a safe space for discussing sensitive topics such as mental disorders. Depre...

A systematic review on automated clinical depression diagnosis.

Assessing mental health disorders and determining treatment can be difficult for a number of reasons...

Depression detection for twitter users using sentiment analysis in English and Arabic tweets.

Since depression often results in suicidal thoughts and leaves a person severely disabled daily, the...

Ten Simple Rules for Using Machine Learning in Mental Health Research.

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 perso...

Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

The rapid development of social reform and the economy has brought great challenges to the mental he...