Psychiatry

Increasing Value in the Veterans Affairs Healthcare System (VA) with Precision Health: A Continuing Landmark Collaboration with the Department of Energy

By personalizing healthcare to an individual’s specific requirements, precision health promises to maximize benefit and minimize harm, thereby maximizing value. We describe here, how in Phase 2 of the Million Veteran Program–Computational Health Analytics for Medical Precision to Improve Outcomes Now (MVP-CHAMPION), artificial intelligence (AI) and high performance computing (HPC) have been applie...

Comparative Prediction of Psychotic and Mood Disorders with Multi-Model Machine Learning

Recently, there has been a surge in the number of mental health cases including paranoid schizophrenia (psychosis) and depression (mood disorder). This study conducted a comparative prediction of psychotic and mood disorders using multi-model machine learning (MLs), mainly: Logistic Regression (LR), Support Vector Classification (SVC), Random Forest (RF), and Extreme Gradient Boost (XGBoost). Meth...

Key features associated with opioid misuse in chronic pain: A machine learning cross-sectional study

Opioid misuse remains a critical public health concern, associated with increased risk of overdose, psychiatric comorbidity, and societal costs. While...

Longitudinal development of sex differences in the limbic system is associated with age, puberty and mental health

Sex differences in mental health become more evident across adolescence, with a two-fold increase of prevalence of mood disorders in females compared ...

Altered microbial carbohydrate metabolism is associated with anxiety and gastrointestinal symptoms in patients with Generalized Anxiety Disorder

Generalized anxiety disorder (GAD) is a common psychiatric condition, with unknown etiology and pathophysiology. Recent studies have suggested alterat...

Towards Participatory Precision Health: Systematic Review and Co-designed Guidelines For Adolescent Just-in-time Adaptive Interventions

Adolescence and young adulthood (10-25 years) constitute a sensitive developmental period marked by rapid biological, psychological, and social change...

Predicting Intentional Self-Harm Following Psychiatric Discharge in Catalonia, Spain: Machine Learning Models from Linked Registry Data

Patients recently discharged from psychiatric hospitalization are at increased risk of intentional self-harm, including suicide. Using linked populati...

Adolescents with non-suicidal self-injury exhibit increased pain empathic neural reactivity and personal distress to physical but not affective pain

Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue. While symptomatic links between NSSI and alterations in pain...

Digital phenotyping using wearable-determined physical behaviors and machine learning to detect depression and anxiety in a general population

Depression and anxiety are widespread mental health disorders, yet their diagnosis remains challenging. Digital phenotyping with wearable devices prov...

VarDrug: A Machine Learning Approach for Variant-Drug Interaction, Application to Drugs for Psychiatric Disorders

Predicting variant-drug interactions is essential for advancing precision medicine across therapeutic areas. The Pharmacogenomics Knowledge Base (Phar...

Evaluating an Ambient Artificial Intelligence Scribe for Documentation Quality and Efficiency in Psychiatric Consultations: A Simulation-based Study

Documentation demands in psychiatric practice diminish time for direct patient care and are associated with clinician burnout. Ambient artificial inte...

Machine learning and natural language processing for the early detection of potential mental disorders among school-age children: a prospective birth cohort study

Early detection of childhood mental health disorders remains challenging due to gaps in current screening approaches that lack sensitivity to subtle p...

Identifying High-Risk Adolescents for Mental Health Difficulties: A Machine Learning Analysis of the Health Behaviour in School-aged Children Study Across 46 Countries

Adolescent mental health represents a global public health crisis, yet traditional surveillance methods lack the scalability and predictive power need...

Ecological Assessment of Transdiagnostic Clinical Symptoms in Serious Mental Illness with Daily Smartphone Surveys

Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments often fail to capture these daily ch...

Serious Gaming and Eye-Tracking for the Screening, Monitoring, Diagnosis and Treatment of Neurodevelopmental Disorders in Children: A Systematic Literature Review

Neurological development between the ages of 3 to 11 is crucial to the shaping of infrastructural capabilities like the executive functions that enabl...

Advanced Deep Learning Architecture for the Early and Accurate Detection of Autism Spectrum Disorder Using Neuroimaging

Autism Spectrum Disorder (ASD) is a neurological condition that affects the brain, leading to challenges in speech, communication, social interaction,...

Use of Generative AI for Health Among Urban Youth in Pakistan: A Mixed-Methods Study

GAI tools are increasingly used informally for health, yet evidence from low- and middle-income countries (LMICs) is limited. This study generates ear...

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, driven not by technical failure, but by diverse be...

Artificial Intelligence in Early Detection of Autism Spectrum Disorder for Preschool ages: A Systematic Literature Review

Early detection of autism spectrum disorder (ASD) improves outcomes, yet clinical assessment is time-intensive. Artificial intelligence (AI) may suppo...

Simulated Reasoning and Self-Verification in Generalist Large Language Models for Psychiatric Diagnostic Performance: Cross-Sectional Study

Large language models (LLMs) have rapidly garnered significant interest for application in psychiatry and behavioral health. However, recent studies h...