Latest AI and machine learning research in psychiatry for healthcare professionals.
There has been an increasing demand for robotic coil positioning during repetitive transcranial magnetic stimulation (rTMS) treatment. Accurate coil positioning is crucial because rTMS generally targets specific brain regions for both research and clinical application with other reasons such as safety, consistency and reliability and individual variablity. Some previous studies have employed indus...
Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents posted by South Korean adolescents for 3 years through the text and opinion mining of collectable documents in order to capture their depression. The sampl...
PURPOSE OF REVIEW: This examines significant trends and developments in the utilization of virtual reality (VR) and augmented reality (AR) simulations...
BACKGROUND: Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the predi...
We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This study enrolled 69 older adults with cognitive decline....
Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their lo...
This paper makes a case for digital mental health and provides insights into how digital technologies can enhance (but not replace) existing mental he...
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with...
To explore the minds of others, which is traditionally referred to as Theory of Mind (ToM), is perhaps the most fundamental ability of humans as socia...
Accurate prediction of suicide risk is important because it allows evidence-based interventions to be targeted to at-risk populations. Conventional ap...
Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst the duration of their victimization, survivors regu...
BACKGROUND: Korea has the highest suicide rate among Organisation for Economic Co-operation and Development (OECD) countries. Consequently, central an...
UNLABELLED: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in childhood that often persists into adulthood...
Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registering high signal-to-noise ratio (SNR) structural mag...
BACKGROUND: It has been recently shown that deep learning models exhibited remarkable performance of representing functional Magnetic Resonance Imagin...
BACKGROUND: Adverse events are common in health care. In psychiatric treatment, compensation claims for patient injuries appear to be less common than...
Middle aged adults experience depression and anxiety differently than younger adults. Age may affect life circumstances, depending on accessibility of...
The genetic etiology of brain disorders is highly heterogeneous, characterized by abnormalities in the development of the central nervous system that ...
BACKGROUND: There is a growing importance for environmental contributions to psychiatric disorders and understanding the impact of the exposome (i.e.,...
BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depr...