Psychiatry

A scoping review on conversational AI in mental health: A human-centered perspective.

BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLM...

Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.

OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare...

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...

Causal ordinal connections based characterization of weighted effective brain network for schizophrenia detection.

The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities....

Diagnosing autism spectrum disorders using ensemble-aided weighted fused features and attention-based residual LSTM with brain MRI images.

One of the neuro-developmental conditions is called Autism Spectrum Disorder (ASD), which causes cha...

Systematic review of machine learning and deep learning models for EEG-based detection of depression.

OBJECTIVE: Depression is a leading cause of global disability, motivating the development of objecti...

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 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.

Boon or a bane: Different usage of LLM correlates with mental health.

BACKGROUND: While large language models (LLMs) are increasingly integrated into daily life, the rela...

Matrix-dependent analytical strategies for the detection of drug-infused foods: A comprehensive review.

Drug-infused foods are increasingly encountered in forensic investigations, including drug-facilitat...

Exploring schizophrenia-associated image-derived digital phenotypes in dual-energy X-ray densitometer scans of non-dominant distal forearm: An explainable machine-learning framework.

Schizophrenia remains diagnosed primarily through clinical assessment, which motivates the researche...