Psychiatry

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

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Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes.

Both brain functional connectivity (FC) and structural connectivity (SC) provide distinct neural mec...

Feb 2025 40020422
Identifying periphery biomarkers of first-episode drug-naïve patients with schizophrenia using machine-learning-based strategies.

Schizophrenia is a complex mental disorder. Accurate diagnosis and classification of schizophrenia h...

Feb 2025 40015618
Pharmacogenomics and response to lithium in bipolar disorder.

AIMS: The present review explores the existing evidence on pharmacogenomic tests for prediction of l...

Feb 2025 39998910
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis.

Neurological disorders are a major global health concern that have a substantial impact on death rat...

Feb 2025 39992458
Validation of a machine learning model for indirect screening of suicidal ideation in the general population.

Suicide is among the leading causes of death worldwide and a concerning public health problem, accou...

Feb 2025 39994320
Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time.

In mental health, accurate symptom assessment and precise measurement of patient conditions are cruc...

Feb 2025 39987277
Neurobiologically interpretable causal connectome for predicting young adult depression: A graph neural network study.

BACKGROUND: There is a surprising lack of neuroimaging studies of depression that not only identify ...

Feb 2025 39988139
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review.

BACKGROUND: The global mental health crisis has created barriers to youth mental healthcare, leaving...

Feb 2025 39986200
Development and validation of short-term, medium-term, and long-term suicide attempt prediction models based on a prospective cohort in Korea.

BACKGROUND: This study aimed to develop and validate prediction models for short-(3 months), medium-...

Feb 2025 40058073
Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia.

DNA methylation (DNAm) is a key epigenetic mark with essential roles in gene regulation, mammalian d...

Feb 2025 39986279
Multi-feature fusion method combining brain functional connectivity and graph theory for schizophrenia classification and neuroimaging markers screening.

BACKGROUND: The abnormalities in brain functional connectivity (FC) and graph topology (GT) in patie...

Feb 2025 40010076
Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review.

BACKGROUND: Conversational artificial intelligence (CAI) is emerging as a promising digital technolo...

Feb 2025 39983102
Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms.

BACKGROUND: It has been increasingly recognized that adults living alone have a higher likelihood of...

Feb 2025 40066004
Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.

INTRODUCTION: Suicide is a significant public health problem, with increased rates in low- and middl...

Feb 2025 40051599
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component.

BACKGROUND: Extracting psychological counseling help-seeker information from unstructured text is cr...

Feb 2025 39987777
Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data.

BACKGROUND: Traditional diagnostic methods for psychiatric disorders often rely on subjective assess...

Feb 2025 39972267
Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.

Approximately 70% of individuals globally experience at least one traumatic event in their lifetime...

Feb 2025 39963046
A systematic literature review of machine learning techniques for the detection of attention-deficit/hyperactivity disorder using MRI and/or EEG data.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...

Feb 2025 39978669
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