Latest AI and machine learning research in psychiatry for healthcare professionals.
Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are many assays for MDD, but rapid and reliable detection remains a pressing challenge. In this study, we present a fusion feature called P-MSWC, as a novel marker to construct brain functional connectivity matrices and utilize the convolutional neural network (CNN) to identify MDD based on electroencephalogram (EE...
BACKGROUND: Major depressive disorder is the leading cause of mental health-related burden globally and up to one-third of major depressive disorder patients never achieve remission. Transcranial Direct Current Stimulation is a non-invasive intervention used to treat individuals diagnosed with major depressive disorder and bipolar disorder. Since the last transcranial direct current stimulation re...
Mental stress is an increasingly common psychological issue leading to diseases such as depression, addiction, and heart attack. In this study, an ear...
PURPOSE OF REVIEW: This paper provides an overview of generative artificial intelligence (AI) and the possible implications in the delivery of mental ...
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky behaviors. The industry is now pur...
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectr...
UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied alongside its co...
OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneo...
BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-...
BACKGROUND: Depression and momentary depressive feelings are major public health concerns imposing a substantial burden on both individuals and societ...
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapte...
BACKGROUND: Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Current diagnosis relies on behavioural criteria, but ...
Millions of people's health is at risk because of several factors and multiple overlapping crises, all of which hit the vulnerable the most. These cha...
OCCUPATIONAL APPLICATIONSAfter viewing video vignettes of human interactions with a novel soft growing robot, we found that participants reported fewe...
(1) Background: Social robot interaction design is crucial for determining user acceptance and experience. However, few studies have systematically di...
INTRODUCTION: Depression is the leading cause of worldwide disability, until now only 3% of patients with major depressive disorder (MDD) experiences ...
Geometric deep learning is one of the main workhorses for harnessing the power of big data to predict molecular properties such as aqueous solubility,...
Social media has become a safe space for discussing sensitive topics such as mental disorders. Depression dominates mental disorders globally, and acc...
Assessing mental health disorders and determining treatment can be difficult for a number of reasons, including access to healthcare providers. Assess...
Since depression often results in suicidal thoughts and leaves a person severely disabled daily, there is an elevated risk of premature mortality due ...