Psychiatry

Nurses' artificial intelligence anxiety levels, their attitudes towards artificial intelligence, and their skills in acting humanistically in nursing practices.

AIM: This study aims to investigate the levels of artificial intelligence-related anxiety among nurs...

Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases.

PURPOSE: The development of digital technologies and artificial intelligence (AI) in healthcare has ...

A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.

BACKGROUND: Chronic pain is a critical cause of personal suffering and societal concern. However, tr...

Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.

Schizophrenia (ScZ) is a growing global health concern that affects millions of people and puts seve...

A proof-of-concept machine learning model for short-term suicide risk stratification in depressed youth.

Machine learning (ML) offers promise for suicide risk stratification in depressed youth, yet its cli...

Comparison of Written and Visual Patient Education Methods Before Urodynamic Studies: A Randomized Controlled Trial.

PURPOSE: This study compared the effects of written versus visual patient education methods on patie...

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other...

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

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...

Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health.

Artificial intelligence in mental health has emerged as a potent tool to foster precision psychiatry...

Technostress in the Era of Generative Artificial Intelligence: Mental Health Implications in Medical Education.

OBJECTIVE: Generative artificial intelligence (GenAI) has rapidly expanded across education. While i...

The age of authenticity anxiety: Artificial intelligence and emerging questions for mental health.

Effects of climate and air pollution on rates of hospitalization for affective mood disorders in southern Brazil.

Climate change and air pollution are two of the most pressing global challenges, increasingly recogn...

Distinct Biotypes of Visual Perception in Major Depressive Disorder.

Previous studies showed abnormalities in both visual motion perception (VMP) and occipital cortex ac...

Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treat...

Debate: Young people are living in unprecedented times-too much chaos or too little resilience? Beyond the 'chaos' storyline-Modernising resilience frameworks and mental health care for children and young people in a neurodiversity inclusive digital world.

Children today, in 2026, are growing up in a world that feels busy, fast and sometimes overwhelming....

Emerging opportunities and challenges for clinical prediction models in psychiatry: commentary, Oliver et al.

Clinical prediction models use individual-level patient data to inform clinical decisions across med...

A decade-long shift in use of energy devices for BABA robotic thyroidectomy: automated video analysis by deep learning.

Bilateral axillo-breast approach robotic thyroidectomy (BABA RT) is a well-established minimally inv...

Life events extraction from healthcare notes for veteran acute suicide risk prediction.

OBJECTIVE: Predictive models of suicide risk have focused on features extracted from structured data...

Using AI to enhance healthcare resource management and allocation: A focus on the autism community in Alabama.

This study investigates the potential of artificial intelligence, particularly Natural Language Proc...

Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors.

OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongs...

Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.

OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant f...