Psychiatry

Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are associated with clinician practice is not well studied. OBJECTIVE: To characterize differences in documentation and treatment of psychiatric symptoms in primary care outpatient notes generated using ambient scribes compared with human or no scribes. DESIG...

Exploring the integration of large language models in human-robot collaboration: Effects on performance, mental stress, and trust.

As large language models (LLMs) become increasingly integrated into robotic systems, understanding their influence on human-robot collaboration (HRC) is critical for designing effective and user-centered human-robot interactions. This study investigates the impact of LLM-enhanced robotic systems on users' performance, mental stress, and trust during collaborative tasks. Participants engaged in two...

Leveraging an AI-Driven Voice Companion to Enhance Mental Health in Older Adults in Post-Acute and Long-Term Care Settings: A Feasibility Study.

Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term care settings and are associated with adverse health ...

Microbiota-metabolome interplay in depression: Metabolic insights and diagnostic potential.

Mounting evidence highlights the interplay between gut microbiota, metabolism, and depression. In this study, we analyze fecal and serum metabolomes i...

Autonomous conversational agents for loneliness, social isolation, depression, and anxiety in older people without cognitive impairment: Systematic review and meta-analysis.

Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversationa...

Lateralized effects of vagus nerve stimulation on cortical spreading depression: insights from a mouse model.

OBJECTIVES: Vagus nerve stimulation (VNS) is increasingly recognized as a therapeutic approach for neurological disorders, such as epilepsy, migraine,...

Two Decades of Metaphorical Use of Schizophrenia in Brazilian Newspapers: A Machine Learning Approach.

Media representation of mental illness has the potential to reinforce stigma. This phenomenon may arise from the perpetuation of stereotypes, the asso...

A study on the coupling mechanism between the urban environment and depression perception based on deep learning and street view image.

With the accelerated urbanization process, the impact of the urban environment on the mental health of residents has attracted extensive attention. Ho...

Interface-engineered Gd₂O₃/ZrO₂ bilayer memristor for emulating synaptic plasticity in neuromorphic systems.

Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capa...

Artificial intelligence for schizophrenia: from unimodal prediction to multimodal characterization.

PURPOSE OF REVIEW: Artificial intelligence is increasingly advancing both fundamental research and clinical applications in schizophrenia. This review...

Radiomics-based classification and inference of subtypes and stages in social anxiety disorder using resting-state functional images.

BACKGROUND: This study aimed to leverage advanced radiomics analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data to investig...

The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions.

OBJECTIVE: Digital mental health interventions (DMHIs) offer scalable solutions to traditional barriers in mental healthcare. Acceptability of DMHIs m...

Exploring artificial intelligence literacy's role in healthy behaviors and mental health.

Healthy behavior has long been linked to mental health outcomes. However, the role of artificial intelligence (AI) literacy in shaping healthy behavio...

GIN-transformer based pairwise graph contrastive learning framework.

Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism sp...

Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.

Stroke, a result of acute cerebrovascular disease that causes cerebral dysfunction, often coexists with depression or even major depressive disorder (...

Continuous Glucose Monitoring-Based Machine Learning Identification of Diurnal Glycemic Patterns and Diabetes Distress in Type 2 Diabetes.

BACKGROUND: To identify diurnal glycemic patterns in adults with type 2 diabetes (T2D) using continuous glucose monitoring (CGM)-based machine learnin...

Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping.

Functional magnetic resonance imaging (fMRI) allows real-time observation of brain activity through blood oxygen level-dependent (BOLD) signals and is...

Association of depressive symptoms with systemic immune-inflammation index and platelet parameters among survivors of myocardial infarction: a cross-sectional NHANES study enhanced by machine learning and SHAP analysis.

BACKGROUND: Inflammation is implicated in the elevated risk of depressive disorder following myocardial infarction (MI), with platelets serving as a k...

Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations.

BACKGROUND: Artificial intelligence (AI) is receiving growing attention in psychiatric practice, yet psychiatrists vary considerably in how they perce...

A Study on the Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: A Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adheren...