Latest AI and machine learning research in psychiatry for healthcare professionals.
In psychiatry we often speak of constructing "models." Here we try to make sense of what such a clai...
Mobile mental health interventions have the potential to reduce barriers and increase engagement in ...
BACKGROUND: Opioid-induced respiratory depression (OIRD) is traditionally recognized by assessment o...
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burd...
This article reviews methods to investigate joint attention and highlights the benefits of new metho...
Specific copy number variants (CNVs) have been robustly associated with intellectual disability, aut...
Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. ...
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and persona...
In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with...
A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obs...
Evidence from electrophysiological, functional, and structural research suggests that abnormal brain...
BACKGROUND: All patients admitted to an acute inpatient mental health unit must have nursing observa...
BACKGROUND: Utilisation of routinely collected electronic health records from secondary care offers ...
Children with autism spectrum disorder (ASD) have deficits in joint attention and play behaviors. We...
The rapid embracing of artificial intelligence in psychiatry has a flavor of being the current "wild...
Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect ps...
BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ ...
An estimated 792 million people live with mental health disorders worldwide-more than one in ten peo...
BACKGROUND: While Walkbot-assisted locomotor training (WLT) provided ample evidence on balance and g...
BACKGROUND: Mental workload is one of the contributing factors to human errors in road accidents or ...
Clinical neuroscience is increasingly relying on the collection of large volumes of differently stru...