Psychiatry

Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being.

Today, society is more aware of their well-being and health, making wearable devices a new and affor...

Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning.

Mental health is one of the main factors that significantly affect one's life. Previous studies sugg...

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.

Advances in computer science and data-analytic methods are driving a new era in mental health resear...

Classification of Mental Stress from Wearable Physiological Sensors Using Image-Encoding-Based Deep Neural Network.

The human body is designed to experience stress and react to it, and experiencing challenges causes ...

EMG-driven shared human-robot compliant control for in-hand object manipulation in hand prostheses.

. The limited functionality of hand prostheses remains one of the main reasons behind the lack of it...

Public perception of metaverse and mental health on Twitter: A sentiment analysis.

The effect of an interactive robot on children's post-operative anxiety, mobilization, and parents' satisfaction; randomized controlled study.

PURPOSE: To evaluate the effect of an interactive robot on Turkish children's post-operative anxiety...

An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets.

The unprecedented rise in the number of COVID-19 cases has drawn global attention, as it has caused ...

Generalisable machine learning models trained on heart rate variability data to predict mental fatigue.

A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state ...

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment.

PURPOSE OF REVIEW: This review will cover the most relevant findings on the use of machine learning ...

Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk subjects using explainable artificial intelligence.

Structural MRI studies in first-episode psychosis and the clinical high-risk state have consistently...

Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.

Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic burden worldw...

An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.

PURPOSE: Mental health assessments that combine patients' facial expressions and behaviors have been...

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.

Comparing a family structure to a company, one can often think of parents as leaders and adolescents...

Abnormal amygdala functional connectivity and deep learning classification in multifrequency bands in autism spectrum disorder: A multisite functional magnetic resonance imaging study.

Previous studies have explored resting-state functional connectivity (rs-FC) of the amygdala in pati...

The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data.

Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episo...

Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum Disorder.

Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a...

Intervention with a humanoid robot avatar for individuals with social anxiety disorders comorbid with autism spectrum disorders.

For some individuals with social anxiety disorders (SAD) comorbid with autism spectrum disorders (AS...

Socially Assistive Humanoid Robots: Effects on Depression and Health-Related Quality of Life among Low-Income, Socially Isolated Older Adults in South Korea.

Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (S...

An Electrochemical-Electret Coupled Organic Synapse with Single-Polarity Driven Reversible Facilitation-to-Depression Switching.

Neuromorphic engineering and artificial intelligence demands hardware elements that emulates synapse...

Strategies to Implement Pet Robots in Long-Term Care Facilities for Dementia Care: A Modified Delphi Study.

OBJECTIVES: Pet robots are technology-based substitutes for live animals that have demonstrated psyc...