Psychiatry

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 clinical application remains methodologically challenging. Using prospective data from 602 Chinese patients aged 15-24 years collected between January 2022 and June 2023, we developed ML models to predict suicide attempts within 30 days after treatment. From 102 clinical and psychosocial predictors, on...

The use of smart surveillance technologies for suicide prevention in public spaces: a professional stakeholder survey from the United Kingdom.

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 patient anxiety, procedural comprehension, hemodynamic ...

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 sedative drugs can cause respiratory depression a...

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 limiting knowledge acquisition and treatment adheren...

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, for example, by stratifying patient populations....

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 its educational benefits are widely recognized, con...

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 recognized for their implications on health. Thus, we ai...

Distinct Biotypes of Visual Perception in Major Depressive Disorder.

Previous studies showed abnormalities in both visual motion perception (VMP) and occipital cortex activity in subjects suffering from major depressive...

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 treatment response to cognitive behavioral therapy (CBT...

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. This raises questions: is the world too chaotic, ...

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 medicine. However, few are currently used in psychiat...

Risk-prediction models for postpartum depression: Assessment of risk of bias using PROBAST+AI.

OBJECTIVE: The postpartum depression (PPD) risk prediction model is an effective risk stratification tool and is expected to play a significant role i...

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 invasive surgical option; however, shifts in preferen...

Joint effects of physical activity and diet quality on depressive symptoms and all-cause mortality in adults with diabetes: NHANES 2007-2018.

Depressive symptoms are common among adults with diabetes and are associated with adverse clinical outcomes, including mortality. Evidence from genera...

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 found in electronic health records, with limited ...

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 Processing and large-scale language models, to improve...

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, alongside clinical, behavioral, and demographic risk fac...

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 findings, affects patient trust, anxiety, follow-up...