Psychiatry

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

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Encoding and Decoding of Brain Dynamic Functional Connectivity for ADHD Diagnosis

Recent studies have demonstrated strong associations between the changes in dynamic functional conne...

Structural changes in autism reflect atypical brain network organization and phenotypical heterogeneity: a hybrid deep network approach

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social ...

The expression level of CACNA1C-encoded CaV1.2 is a tipping point between promotion and inhibition of dendritic growth in neurons

The CACNA1C gene encodes the CaV1.2 L-type voltage-gated calcium channel, which plays a crucial role...

Dopamine and serotonin transients predict depressive symptom relief following deep brain stimulation of human subcallosal cingulate cortex

Recent advances in deep brain stimulation (DBS) of the subcallosal cingulate (SCC) show promise in m...

Interpretable Aging Signatures in Human Retinal Cell Types Revealed by Single-Cell RNA Sequencing and Sparse Logistic Regression

To characterize cell type specific transcriptional changes during human retinal aging and develop ma...

Potential of ChatGPT in Youth Mental Health Emergency Triage: Comparative Analysis with Clinicians

Large language models (LLMs), such as GPT-4, are increasingly integrated into healthcare to support ...

Brain Age Gap Reduction Following Physical Exercise Mirrors Negative Symptom Improvement in Schizophrenia Spectrum Disorders

Schizophrenia spectrum disorders (SSD) are associated with accelerated brain aging, reflected in an ...

Integrating Multidimensional Data Analytics for Precision Diagnosis of Chronic Low Back Pain

Low back pain (LBP) is a leading cause of disability worldwide, with up to 25% of cases become chron...

Predicting Seizures Episodes and High-Risk Events in Autism Through Adverse Behavioral Patterns

To determine whether historical behavior data can predict the occurrence of high-risk behavioral or ...

From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario’s Hospital Feedback

Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world eval...

Schizophrenia versus Healthy Controls Classification based on fMRI 4D Spatiotemporal Data

A wide array of machine learning approaches have been employed for differentiating patients with men...

Identifying Psychiatric Manifestations in Outpatients with Depression and Anxiety: A Large Language Model-Based Approach

Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, while cu...

The lived experience of social anxiety disorder: A conceptual model based on published literature and social media listening

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characteri...

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...

Prognostic predictions in psychosis: exploring the complementary role of machine learning models

Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of ind...

Advancing the prediction and understanding of placebo responses in chronic back pain using large language models

Placebo analgesia in chronic pain is a widely studied clinical phenomenon, where expectations about ...

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