Psychiatry

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (b...

Intelligent virtual agents in psychotherapy: a safety evaluation across high-risk mental health scenarios.

The growing burden of mental illness and limited access to evidence-based psychotherapy have increas...

Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.

BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major de...

A relational agent for treating substance use in adults: A randomized controlled trial with a psychoeducational comparator.

BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers ...

EEG-based schizophrenia detection using handcrafted biomarkers and a TOA-optimized hybrid multi-branch CNN-Transformer framework.

Schizophrenia is a chronic psychiatric disorder for which electroencephalography (EEG) offers a low-...

Considerations about the proliferation of large language model chatbots and youth mental health.

Young people are experiencing worsening mental health and a growing reliance on online tools and ser...

Responsible AI Integration Framework for Psychiatric Guidelines.

Artificial intelligence (AI) is reshaping medicine, promising advances in diagnosis, monitoring, and...

A Bibliometric Analysis of Artificial Intelligence and Digital Technologies in Maxillofacial Skeletal Reconstruction: Current Applications and Research Trends.

BACKGROUND: Maxillofacial skeletal defects lead to functional impairments, aesthetic disfigurement, ...

A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries.

IntroductionEEGLAB is a widely used software for analyzing electroencephalography (EEG) datasets, wi...

FaceTrack-AOI: An AI-driven tool for automated dynamic AOI placement and eye movement analysis in face perception studies.

Face perception is fundamental to human social interaction, relying on the dynamic allocation of vis...

Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini...

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (M...

Heterogeneity of depression and suicidal ideation among college students in Eastern China: a latent profile analysis and machine learning approach.

To investigate the heterogeneity of depression and suicidal ideation among Chinese college students ...

Abnormal dynamics of brain networks in bipolar disorder: a dynamic degree centrality and imaging-transcriptomic investigation.

Integrating EEG microstate dynamics in a stacked ensemble for neurodiagnostic ASD assessment.

Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterog...

Factors influencing disinformation avoidance behavior among generative artificial intelligence users: A cognition-affect-conation framework.

This study aimed to uncover the mechanisms driving disinformation avoidance behavior among generativ...

Building a Science-Driven Business: How National Institutes of Health Funding Enabled an Evidence-Based Approach to Maternal Mental Health Innovation.

The digital mental health (DMH) industry has grown drastically over the last decade; yet, many DMH p...

Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI.

The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-depen...

Cerebellar gray matter volume difference in first-episode bipolar and unipolar depression.

BACKGROUND: Early differential diagnosis of bipolar disorder (BD) and unipolar depression (UD) remai...

A multimodal fNIRS-based machine learning model for symptom assessment and treatment response prediction in schizophrenia.

OBJECTIVE: Predicting early symptom severity and treatment response in schizophrenia is crucial for ...

A comparative evaluation of EEG-based deep learning models for schizophrenia detection with cross-dataset validation and explainable AI.

OBJECTIVES: Schizophrenia is a neuropsychiatric disorder that affects emotional, behavioral, and bra...