Psychiatry

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

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Large Language Models for Psychiatric Phenotype Extraction from Electronic Health Records

The accurate detection of clinical phenotypes from electronic health records (EHRs) is pivotal for a...

Sex-Specific Diagnostic Subtypes in Adolescents Hospitalized for Substance Use Disorders Revealed by Transformer-Based Clustering

Substance use disorders (SUD) are a leading cause of psychiatric hospitalization among adolescents, ...

Classification of familial and non-familial ADHD using auto-encoding network and binary hypothesis testing

Family history is one the most powerful risk factor for attention-deficit/hyperactivity disorder (AD...

Development and validation of electronic health record-based ascertainment of obsessive-compulsive disorder cases and controls

Obsessive-compulsive disorder (OCD) is a common psychiatric disorder, with two-thirds of affected in...

Responsible AI in Action: Planning through Implementation of a Mortality Model for Palliative Care

Interest in the use of prediction models to support referrals to palliative care is surging. Few hig...

Signal Mining and Analysis of Adverse Events of Isotretinoin: 20-year real-world pharmacovigilance analysis based on the FAERS database

To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...

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 schizophren...

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, ...

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...

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 ...

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 s...

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 therapeuti...

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-base...

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