Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depr...
To summarize recent research and present a selection of the best papers published in 2016 in the fi...
Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subseque...
OBJECTIVES: Social media, including online health communities, have become popular platforms for ind...
OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised dep...
The goal of the present study was to apply deep learning algorithms to identify autism spectrum diso...
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in s...
Depressive symptoms occur frequently in patients with schizophrenia. Several factor analytical studi...
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sen...
BACKGROUND: Linguistic analysis of publicly available Twitter feeds have achieved success in differe...
The cortico-striatal-thalamo-cortical (CSTC) pathway is a brain circuit that controls movement execu...
BACKGROUND: Probabilistic assessments of clinical care are essential for quality care. Yet, machine ...
With the rise of social media, millions of people are routinely expressing their moods, feelings, an...
BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsi...
BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosi...
BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoug...
OBJECTIVES: This study aimed to provide an empirical model of predicting low back pain (LBP) by cons...
Machine learning techniques provide new methods to predict diagnosis and clinical outcomes at an ind...
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities ...
BACKGROUND: Early identification and intervention are imperative for suicide prevention. However, at...
BACKGROUND: The care of traumatized children would benefit significantly from accurate predictive mo...