Psychiatry

Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.

Genetic association studies have identified numerous genes harboring protein-disrupting variants in ...

EXPRESS: Static and dynamic perspective on brain activity and functional connectivity alternations in the comorbidity of chronic pain and depression: An fMRI study in rats.

BACKGROUND: Clinically, chronic pain and depression often coexist in multiple diseases and reciproca...

Digital and AI-enhanced psychosocial interventions in breast cancer patients: a systematic review and meta-analysis.

PURPOSE: Digital and AI-supported psychosocial interventions are increasingly implemented to address...

Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study.

BACKGROUND: Passive smartphone sensing shows promise for suicide prevention, but behavioral metadata...

Advancing neurotech justice in youth digital mental health: insights from an interdisciplinary and cross-generational workshop.

Researchers and clinicians are increasingly looking to leverage artificial intelligence (AI) and dig...

A Gamified Pain Management Intervention for Adults With Chronic Pain in Mainland China: Single-Arm Pre-Post Pilot Study With Machine Learning Predictive Modeling.

BACKGROUND: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning w...

Extracting common processes across psychotherapies through AI.

INTRODUCTION: Psychological treatments are effective in addressing mental disorders. However, they o...

Linking brain structure to stress reactivity: cingulate surface area predicts acute cortisol responses.

BACKGROUND: Altered stress responses are closely linked to mental disorders, but the role of brain s...

Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study.

BACKGROUND: Frequent, sustained stress is linked to poor health and requires monitoring for early in...

Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study.

BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countri...

The Role of Large Language Models in Teaching Psychiatric Semiology: A Systematic Review.

INTRODUCTION: Teaching psychiatric semiology faces challenges such as the limited availability of re...

Deep learning-based differential diagnosis of major depression and bipolar disorder using microglia-cellular sensors and patient-derived small extracellular vesicles.

Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts.

Chatbot-related mental health risks have attracted increasing public attention, yet educational case...

Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that is primarily characterized by ...

Comment on "Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study".

How self-efficacy influences Chinese university students' GenAI dependency: A study of the mediating roles of social anxiety and rumination and the moderating role of mindfulness.

With the recent, rapid advancement of artificial intelligence (AI) technology, an increasing number ...

Technology Matters: Emerging technologies in clinical informatics to support child and adolescent mental healthcare safety.

Electronic health records (EHRs) can support patient safety across medical settings but require thou...

Cleft related facial skeletal surgery: an update.

PURPOSE OF REVIEW: This review provides a comprehensive update on advancements and evolving paradigm...

It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

Large language models are rapidly becoming embedded in everyday life through artificial intelligence...

New directions for the Edinburgh Postnatal Depression Scale: towards an EPDS-R (revised).

The Edinburgh Postnatal Depression Scale (EPDS) has been translated into over 60 languages, and for ...

Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach.

This study aimed to develop and validate a machine learning (ML) model to identify the minimal risk ...