Psychiatry

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

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Fragile X Syndrome in Brazil: Development and Validation of a Clinical Checklist for Population Screening

Fragile X Syndrome (FXS) is the most common inherited cause of intellectual disability and syndromic...

Modelling Approaches for Predicting the Distribution of Skin NTDs: A Systematic Review

Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filariasis, mycet...

Regional brain aging patterns reveal disease-specific pathways of neurodegeneration

The heterogeneity of brain aging is a hallmark of neurological and psychiatric disorders, yet machin...

Oxytocin Enhances Social-Emotional Reciprocity in Autism

We evaluated whether oxytocin improves social-emotional reciprocity in children and adolescents with...

EEG-Based Prediction of rTMS Treatment Response in Depression: Nonlinear Features and Machine Learning with Minimal Electrode

Repetitive transcranial magnetic stimulation (rTMS) is an established intervention for treatment-res...

Leveraging simulation to provide a practical framework for assessing the novel scope of risk of LLMs in healthcare

Large language models (LLMs) are rapidly entering clinical care, yet their definitionally probabilis...

Evaluating large language models for predicting psychiatric acute readmissions from clinical notes of population-based EHR

Psychiatric patients often have complex symptoms and anamneses recorded as unstructured clinical not...

Artificial Intelligence Predicts Health-Related Quality of Life for Adolescent Idiopathic Scoliosis

Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life (HRQoL) i...

Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine Learning

Dementia encompasses diverse clinical syndromes where diseases of the brain can manifest as impaired...

Evaluating Voice-Enabled Generative AI for Mental Health: Real-Time Performance and Safety Analyses

This study investigates the integration of Voice AI into a locally hosted generative AI chatbot desi...

Sleep Staging Foundation Models Encode Neural Disorder-Related EEG Representations that Generalize to Wakefulness

To leverage sleep foundation models trained on large datasets of polysomnography for neurological di...

CLINPREAI: AN AGENTIC AI SYSTEM FOR EARLY POSTPARTUM DEPRESSION RISK PREDICTION FROM MULTIMODAL EHR DATA

Postpartum depression (PPD) affects 10–15% of mothers annually, yet early identification remains cha...

Prediction of Adolescent Internalizing Disorder Risk: Evidence from the Norwegian Mother, Father, and Child Cohort Study

Internalizing disorders are among the most common psychiatric conditions in adolescence, often assoc...

A Zero-Burden Sleep Foundation Model Built on Cardiorespiratory Signals from 800,000+ Hours of Multi-Ethnic Sleep Recordings

Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...

Network-based Molecular Constraints on in vivo Synaptic Density Alterations in Schizophrenia

Converging neuroimaging, genetic, and post-mortem evidence highlights the fundamental role of synapt...

Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study

Early intervention can improve autism-related outcomes. However, no valid biosignature test exists y...

Personalized Machine Learning guided Intervention for Optimizing Lifestyle Behaviors in Depression

Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...

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