Latest AI and machine learning research in psychiatry for healthcare professionals.
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...
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...
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: The care of traumatized children would benefit significantly from accurate predictive mo...
BACKGROUND: Early identification and intervention are imperative for suicide prevention. However, at...
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psy...
While it has been argued that children with autism spectrum disorders are responsive to robot-like t...
Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disor...
Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...
INTRODUCTION: Interventions using robot-assisted therapy may be beneficial for the social skills dev...
BACKGROUND: Applications of natural language processing to mental health notes are not common given ...
De-identification, or identifying and removing protected health information (PHI) from clinical data...
OBJECTIVE: Structural and functional abnormalities have been reported in the brain of patients with ...
BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score d...