Latest AI and machine learning research in psychiatry for healthcare professionals.
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to predict anxiety would help create individualized treatment. There is a need for objective and non-invasive continuous monitoring tools that allow for th...
The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As such, many studies have sought to identify diagnostic biomarkers of SZ using explainable machine learning methods. However, the generalizability of identified biomarkers in many machine learning-based studies is highly questionable given that most studies only analyze explanations from a small number...
Suicide poses a global health crisis with significant social and economic impact. Prevention may be possible if objective quantitative methods are dev...
Depression is a widespread mental health issue requiring efficient automated detection methods. Traditional single-modality approaches are less effect...
Post-traumatic stress disorder (PTSD) is a prevalent disorder that can develop in people who have experienced very stressful, shocking, or distressing...
Early diagnosis of Acute Stress Disorder (ASD) is important, given its potential progression to post-traumatic system disorder (PTSD). The current dia...
Neurodevelopmental disorders (NDDs) have arisen as one of the most prevailing chronic diseases within the US. Often associated with severe adverse i...
Depression, a prevalent and complex mental health issue affecting millions worldwide, presents significant challenges for detection and monitoring. ...
Dementia is a mental illness that people live with all across the world. No one is immune. Nothing can predict its onset. The true story of dementia...
As we build towards developing interactive systems that can recognize human emotional states and respond to individual needs more intuitively and em...
Background: Any treatment of multiple sclerosis should preserve mental function, considering how cognitive deterioration interferes with quality of ...
Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual's cognitive abilities, behavior, and social intera...
Neural networks, whice have had a profound effect on how researchers study complex phenomena, do so through a complex, nonlinear mathematical struct...
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial inte...
This study investigates the utility of speech signals for AI-based depression screening across varied interaction scenarios, including psychiatric i...
Harmful suicide content on the Internet is a significant risk factor inducing suicidal thoughts and behaviors among vulnerable populations. Despite ...
STUDY OBJECTIVES: The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a mino...
Recent, rapid advancements in technology have enabled the introduction and integration of robots into everyday life. Different from the traditional im...
Thirty years ago, we proposed the similarity between the functioning of artificial intelligence and the human psyche, suggesting multiple parallels be...