Psychiatry

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

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Occupational mental health: an investigation of risk indicators using interpretable machine learning techniques.

OBJECTIVE: To apply interpretable machine learning to identify key factors influencing work-related ...

May 2025 40490394
Functional connectome-based predictive modeling of suicidal ideation.

Suicide represents an egregious threat to society despite major advancements in medicine, in part du...

May 2025 40441623
A scientometric analysis of machine learning in schizophrenia neuroimaging: Trends and insights (2012-2024).

Machine learning applications in schizophrenia neuroimaging research have undergone significant evol...

May 2025 40441634
Machine learning models of depression in middle-aged and older adults with cardiovascular metabolic diseases.

BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) is increasing, and depression i...

May 2025 40441636
Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis.

Alterations in social functioning are commonly observed in youth at clinical high risk (CHR) for psy...

May 2025 40419520
Artificial intelligence (AI) in psychotherapy: A challenging frontier.

ObjectiveArtificial intelligence (AI) chatbots have emerged as a potential tool to revolutionise men...

May 2025 40421579
Age-Related Differences in Risk Factors for Long-Term Care Certification in Japan: A Decision Tree Analysis Spanning 3 Years.

Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...

May 2025 40421652
Modeling Brain Aging with Explainable Triamese ViT: Towards Deeper Insights into Autism Disorder.

Machine learning, particularly through advanced imaging techniques such as three-dimensional Magneti...

May 2025 40424106
Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.

BACKGROUND: Although evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment c...

May 2025 40441659
Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD.

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major d...

May 2025 40441660
Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach.

BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive...

May 2025 40496821
EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

May 2025 40418299
Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions.

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic di...

May 2025 40419801
Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features.

BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant ...

May 2025 40420009
A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights.

BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assess...

May 2025 40414904
The influence of mental state attributions on trust in large language models.

Rapid advances in artificial intelligence (AI) have led users to believe that systems such as large ...

May 2025 40415069
Exploring voice as a digital phenotype in adults with ADHD.

Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subject...

May 2025 40413201
Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

May 2025 40413309
The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

May 2025 40413462
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