Latest AI and machine learning research in psychiatry for healthcare professionals.
Ecological momentary assessment (EMA), a structured diary assessment technique, has shown feasibilit...
Exposure to firearm violence is widespread and disproportionately experienced by communities of colo...
The current development in the field of artificial intelligence and its applications has advantages ...
OBJECTIVES: This study aimed at identifying reliable differentially expressed miRNAs (DEMs) for schi...
Forensic psychiatric populations commonly contain a subset of persons with schizophrenia spectrum di...
Psoriasis is a chronic skin disorder, and patients encounter high physical and psychosocial burdens....
Common misbehavior among children that prevents them from paying attention to tasks and interacting ...
Electroencephalography is a method of detecting and analyzing electrical activity in the brain. This...
Positive psychology interventions (PPIs) are effective at increasing happiness and decreasing depres...
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations wit...
OBJECTIVE: To investigate individual effects of a three-week sleep robot intervention in adults with...
"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children unde...
BACKGROUND: The fast-paced development of digital technologies in the areas of social media, pet rob...
There has been an increasing demand for robotic coil positioning during repetitive transcranial magn...
Depression in adolescence is recognized as an important social and public health issue that interfer...
PURPOSE OF REVIEW: This examines significant trends and developments in the utilization of virtual r...
BACKGROUND: Depression is a common mental health problem among veterans, with high mortality. Despit...
We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This stud...
Mental ill health is more common among juvenile offenders relative to adolescents in general. Little...
This paper makes a case for digital mental health and provides insights into how digital technologie...
Machine-learning prediction studies have shown potential to inform treatment stratification, but rec...