Latest AI and machine learning research in psychiatry for healthcare professionals.
The use of humanoid robots as assistants in therapy processes is not new. Several projects in the pa...
Major depressive disorder (MDD) is the most common mental disorder in the present day as all individ...
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...
BACKGROUND: Depression, a common worldwide mental disorder, which brings huge challenges to family a...
Autism is a neurodevelopmental disorder that affects the everyday life of people who have this lifel...
BACKGROUND: Individuals with autism spectrum disorder (ASD) exhibit frequent behavioral deficits in ...
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despi...
Theoretically-driven models of suicide have long guided suicidology; however, an approach employing ...
Sensor technologies and data collection practices are changing and improving quality metrics across...
There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot stud...
Autism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is esti...
This study investigates on the relationship between affect-related psychological variables and Body ...
OBJECTIVES: We set out to develop, evaluate and implement a novel application using natural language...
It has been suggested that the relationship between cognitive function and functional outcome in sch...
The clinical application of neuroimaging for psychological complaints has so far been limited to the...
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs...
With the increasing legalization of medical and recreational use of cannabis, more research is neede...
Emotional distress is a common reason for seeking psychotherapy, and sharing emotional material is c...
BACKGROUND: Mental health disorders affect multiple aspects of patients' lives, including mood, cogn...
In real-world data, predictive models for clinical risks (such as adverse drug reactions, hospital r...
Automated detection of complex animal behaviors remains a challenging problem in neuroscience, parti...