Latest AI and machine learning research in psychiatry for healthcare professionals.
OBJECTIVE: Remitted bipolar disorder (BD) patients frequently present with chronic mood instability ...
A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, ex...
Research into suicide prevention has been hampered by methodological limitations such as low sample ...
Very little is known about the health problems experienced by individuals with autism spectrum disor...
BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk ...
BACKGROUND: Parents are likely to seek Web-based communities to verify their suspicions of autism sp...
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the futur...
OBJECTIVE: A growing literature indicates that unipolar depression and bipolar depression are associ...
INTRODUCTION: Neuropeptide S (NPS) is a novel neuropeptide reported to be involved in fear-and stres...
In recent years, advanced neurocomputing and machine learning techniques have been used for Electroe...
We sought to test the hypothesis that transcriptome-level gene signatures are differentially expres...
De-identification of clinical notes is a special case of named entity recognition. Supervised machin...
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide du...
BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classi...
This study applied the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to...
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorde...
BACKGROUND: A lack of a sufficiently large sample at single sites causes poor generalizability in au...
BACKGROUND AND OBJECTIVES: Over the last decade, the application of computer vision techniques to th...
BACKGROUND: The 2015 Germanwings Flight 9525 disaster, in which 150 people were killed after the co-...
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. I...
In this study, we employed the Maximum Uncertainty Linear Discriminant Analysis (MLDA) to investigat...