Psychiatry

Heterophily-Aware Spectral GCN for Population-Level Brain Disorder Prediction.

Integrating resting-state functional magnetic resonance imaging (rs-fMRI) and phenotypic data is a promising way to build a comprehensive population graph for the prediction of brain disorders using graph neural networks (GNNs). However, existing GNN-based methods face two limitations: the complexity of relationships between subjects poses challenges in constructing a well-defined population graph...

Threat discrimination of real-world social interactions in schizotypal traits.

Threat detection is compromised across the schizophrenia spectrum, often revealed by paranoia and delusions. Threat difficulties extend to nonclinical populations with liability toward schizophrenia. A key source of these difficulties may be due to hyper-sensitivity to social stressors in real-world environments. In a large, nonclinical sample (N = 161), we measured the influence of social context...

Peripheral blood transcriptomic biomarkers for predicting antidepressant response in major depressive disorder.

MDD-thinker: A reasoning-enhanced large language model for diagnosis of major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is a leading cause of global disability and poses a substantial public health burden. However, current dia...

Discriminating between major depressive disorder and bipolar depression: Aberrant EEG microstate dynamics and machine learning classification.

BACKGROUND: Major depressive disorder (MDD) and bipolar depression (BD) are common mood disorders with overlapping clinical features, posing significa...

Digital companionship: The interplay of conversational AI, loneliness, social anxiety, and quality of life among young adults.

This study examines the relationship between Conversational Artificial Intelligence (CAI) usage and psychological outcomes-social anxiety, loneliness,...

Predicting fine motor deficit in autism by measuring brain activities and characterizing motor impairments.

Motor impairments affect approximately 86.9% of children with Autism Spectrum Disorder (ASD), often persisting into adolescence and increasing the ris...

Psychotherapists versus artificial intelligence: let's not raise the white flag.

Early detection of adults ADHD using electronic health records: A machine learning study.

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China.

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in wo...

Young academic psychiatrists in 2050s: future directions across low- and high-income settings.

Academic psychiatrists inhabit two professional identities: clinician and researcher. In some settings they also carry out teaching to a range of staf...

Update on pharmacogenomic approaches in the treatment of autism spectrum disorders.

Temporomandibular Disorders Diagnosis: Current Challenges and the Promising Role of Artificial Intelligence.

Temporomandibular disorders (TMDs) are a group of musculoskeletal and joint-related conditions affecting the temporomandibular joint (TMJ), masticator...

Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.

Maternal postpartum depression (PPD) is a significant mental health issue that affects over 15% of mothers, with adverse effects on their children. Et...

Evaluating the Impact of a Telepresence Robot Intervention on Preoperative Anxiety in Children: A Preliminary Study.

Preoperative anxiety is common among pediatric patients and is associated with adverse perioperative outcomes. This prospective single-arm pilot study...

Implementing artificial intelligence (AI) to facilitate health outcomes in mood disorders: Application versus aspiration.

The burden of depressive and bipolar disorders at the individual and societal level are extraordinary and increasing. For decades, evidence-based trea...

Leveraging machine learning to identify gendered stereotypes and body image concerns on diet and fitness online forums.

The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating di...

Future nurses' attitudes and anxiety toward artificial intelligence: A cross-sectional study.

AIM: This study aimed to examine the relationship between nursing students' attitudes toward artificial intelligence (AI) and their levels of AI-relat...

A machine learning approach to predicting clinical trajectories in bipolar disorder.

BACKGROUND: Bipolar disorder (BD) is characterized by significant heterogeneity in clinical presentation, age of onset, and diagnostic delays. Identif...

Identification and experimental confirmation of TBC1D10C as a shared transcriptional link between abdominal aortic aneurysm and major depressive disorder.

BACKGROUND: Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent conditions with substantial global health burdens. Growi...