Psychiatry

Toward precision medicine: can neuroimaging prospectively predict early treatment outcomes in schizophrenia spectrum disorders? A systematic review and meta-analysis.

BACKGROUND: Variability in antipsychotic response results from interaction of illness-related, treat...

From Clinic to Home: Validating the Social Communication Scale for Telemedicine-Supported Early Autism Screening in Chinese Toddlers.

Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limi...

Predicting longitudinal depressive symptom trajectories among older Chinese adults with chronic health conditions: An interpretable machine learning study.

OBJECTIVE: This study leveraged interpretable machine learning (ML) to map heterogeneous trajectorie...

Development and Validation of a Computer-Assisted Screw Trajectory Planning Model Based on Iterative Closest Point Registration and Weighted K-Nearest Neighbors Algorithms for Cortical Bone and Pedicle Screw Techniques.

Study DesignRetrospective study.ObjectivesTo develop and validate a computer-assisted model for plan...

Combined Unipolar and Bipolar Voltage Mapping at Redo Ablation After Cryoballoon Pulmonary Vein Isolation: Associations With Subsequent Arrhythmia Recurrence.

Systematic review of mental or behavioral health care in integrated specialty medical care settings.

INTRODUCTION: Although the integration of mental health services is widely accepted as important in ...

Translational Study of Using FOCM/TS Metabolites for Supporting Autism Spectrum Disorder Diagnosis.

PURPOSE: Several clinical trial studies have shown correlations between certain physiological measur...

Clinician Perceptions of AI in Care: Cross-Sectional Survey.

BACKGROUND: AI is increasingly being explored as a tool to enhance efficiency, access, and diagnosti...

Post-traumatic Psychopathology and Cardiovascular Risk: A Danish Case-Control Study of Sex-Specific Associations.

BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequence...

Integration of network pharmacology, molecular docking, and molecular dynamics simulation to elucidate the mechanism of Psychotria rubra in depression treatment.

Depression is a chronic mental disorder with high disability and mortality rates, affecting approxim...

A Clinical AI-Based System (MoodMon) for Affective Disorders: Algorithm Development and Validation.

BACKGROUND: Psychiatry needs objective technological tools to address global staffing shortages, sti...

Nurses' Ethical Awareness, Attitudes, Anxiety, and Intention to Use Artificial Intelligence Technology.

Artificial intelligence (AI) is increasingly influencing nursing practice and care delivery. This cr...

Emotionally engaged speech reveals acoustic markers of depression and suicide risk.

BACKGROUND: Major depressive disorder exists along a continuum, from health through remission to act...

3D epigenome of glial cell types in developing human cortex.

The human cortex is complex and heterogeneous, undergoing extensive expansion during development1,2....

A Critical Synthesis of Machine Learning in Autism Spectrum Disorder Genomic Research: From Transcriptomics to Microbiome.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent...

Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.

OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG...

Unsupervised Identification of Population Clusters With Distinct Low Back Pain Profiles.

BACKGROUND CONTEXT: Low back pain (LBP) is a leading cause of disability worldwide, yet population-l...

An interpretable machine learning framework for screening psychological distress in patients with chronic rhinosinusitis.

BACKGROUND: Chronic rhinosinusitis (CRS) is associated with substantial psychological burden, yet to...

An Alternative Approach for Detecting Problematic Alcohol Use: Developing the Student Alcohol Risk Assessment Scale-15 Using AI-Assisted Machine Learning.

BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physica...

Digital and Biomarker-Based Monitoring for Schizophrenia-Treatment Adherence.

BACKGROUND: Nonadherence to antipsychotics affects nearly half of patients with schizophrenia, leadi...

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition...