Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Enhancing differentiation between unipolar and bipolar depression through integration of machine learning and electroencephalogram analysis.

To enhance the differentiation between unipolar depression (UPD) and bipolar depression (BPD), this ...

Multivariate brain morphological patterns across mood disorders: key roles of frontotemporal and cerebellar areas.

BACKGROUND: Differentiating major depressive disorder (MDD) from bipolar disorder (BD) remains a sig...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

Linking autism risk genes to morphological and pharmaceutical screening by high-content imaging: Future directions and opinion.

Next-generation sequencing has identified risk genes with large effect sizes for autism spectrum dis...

Comparison of Machine Learning Models in Predicting Mental Health Sequelae Following Concussion in Youth.

Youth who experience concussions may be at greater risk for subsequent mental health challenges, mak...

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals.

Experiencing mild symptoms of psychosis, like delusions and hallucinations, occurs sometimes in gene...

How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis.

INTRODUCTION: Artificial Intelligence (AI) has become part of our everyday lives and is also increas...

AI for mental health: clinician expectations and priorities in computational psychiatry.

Mental disorders represent a major global health challenge, with an estimated lifetime prevalence ap...

Use of Artificial Intelligence in Adolescents' Mental Health Care: Systematic Scoping Review of Current Applications and Future Directions.

BACKGROUND: Given the increasing prevalence of mental health problems among adolescents, early inter...

Artificial Intelligence-Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis.

BACKGROUND: Mobile phone apps powered by artificial intelligence (AI) have emerged as powerful tools...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume.

BACKGROUND: The thalamus plays a crucial role in sensory processing, emotional regulation, and cogni...

An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired soci...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence a...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Attention-driven deep learning framework for EEG analysis in ADHD detection.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects cognit...

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