Psychiatry

Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning.

"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children unde...

Understanding the impact of digital technology on the well-being of older immigrants and refugees: A scoping review.

BACKGROUND: The fast-paced development of digital technologies in the areas of social media, pet rob...

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

Depression in adolescence is recognized as an important social and public health issue that interfer...

Robotic transcranial magnetic stimulation in the treatment of depression: a pilot study.

There has been an increasing demand for robotic coil positioning during repetitive transcranial magn...

Virtual and Augmented Simulations in Mental Health.

PURPOSE OF REVIEW: This examines significant trends and developments in the utilization of virtual r...

Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.

BACKGROUND: Depression is a common mental health problem among veterans, with high mortality. Despit...

Investigating the effectiveness of socially assistive robot on depression and cognitive functions of community dwelling older adults with cognitive impairments.

We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This stud...

Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach.

Mental ill health is more common among juvenile offenders relative to adolescents in general. Little...

Social companion robots for alleviating depression and loneliness in institutional older adults.

Digital transformation of mental health services.

This paper makes a case for digital mental health and provides insights into how digital technologie...

Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study.

Machine-learning prediction studies have shown potential to inform treatment stratification, but rec...

A conceptual framework of cognitive-affective theory of mind: towards a precision identification of mental disorders.

To explore the minds of others, which is traditionally referred to as Theory of Mind (ToM), is perha...

Artificial intelligence-based approaches for suicide prediction: Hope or hype?

Accurate prediction of suicide risk is important because it allows evidence-based interventions to b...

A digital ally: The potential roles of ChatGPT in mental health services.

Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst t...

Prediction of suicidal ideation in children and adolescents using machine learning and deep learning algorithm: A case study in South Korea where suicide is the leading cause of death.

BACKGROUND: Korea has the highest suicide rate among Organisation for Economic Co-operation and Deve...

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups.

UNLABELLED: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disord...

Affine image registration of arterial spin labeling MRI using deep learning networks.

Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registeri...

A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks.

BACKGROUND: It has been recently shown that deep learning models exhibited remarkable performance of...

Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

BACKGROUND: Adverse events are common in health care. In psychiatric treatment, compensation claims ...

Assessment of depression and anxiety in young and old with a question-based computational language approach.

Middle aged adults experience depression and anxiety differently than younger adults. Age may affect...