Patient safety / Risk Management

Provenance, Not Prohibition: A Framework for AI in Scholarly Publishing.

Generative AI is now embedded in scholarly workflows, yet publishing policy has often jumped to permission or prohibition without first defining what is being governed. The central risk is not tool use itself, but loss of provenance: readers, reviewers, and editors must be able to trace how claims, citations, analyses, and interpretations were produced and verified. Harm is already measurable, inc...

AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.

BACKGROUND: Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is whether these tools are safe. The field currently lacks a validated, automated benchmark for determining AI chatbot safety in mental health, including fo...

Quality perceptions and intended engagement in response to AI-generated and AI-assisted news.

The increasing use of artificial intelligence (AI) in news production raises important questions about how audiences perceive and respond to AI-genera...

Exploring the application of Artificial Intelligence in palliative care and its practical, technical and ethical considerations: a scoping review.

BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditions and their families; however, global access rem...

Equity-by-design for socially assistive robots as digital health tools.

OBJECTIVES: To propose an equity-by-design agenda for socially assistive robots (SARs) as embodied digital health informatics interventions. MATERIALS...

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.

BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...

Exploratory 6-year prediction of LTCI certification using KCL data: A decision tree analysis in a retrospective observational study.

Amid the progression of an aging society, it is essential to develop a long-term predictive model capable of distinguishing between older adults with ...

Design and analysis strategies for robust microbiome ageing research.

The gut microbiome changes systematically with age and associates with age-related morbidity and mortality, establishing it as a candidate biomarker a...

Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth.

Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have identified meaningful subgroups based on these pr...

Adherence of CLAIM in Artificial Intelligence Research: A Cross-Sectional Study.

OBJECTIVE: To analyze the adherence of Checklist for Artificial Intelligence (AI) in Medical Imaging (CLAIM) in top medical imaging journals. METHODS:...

Predicting Risk Factors of Pressure Injury for Perioperative Patients Through Machine Learning With SHapley Additive exPlanations Based on Hospital Information System.

OBJECTIVE: Perioperative pressure injuries (PIs) are a common complication of surgical hospitalization that can lead to serious health problems, compr...

A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).

BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters is likely to be under-reported because of stigma a...

Predicting heterosexual reactions to coming out in China.

For many Chinese sexual minority men, coming out-disclosing their sexual orientation-is stressful because of concerns about how heterosexual recipient...

Supporting Student Mental Health With the Safespace Generative AI Chatbot: Mixed Methods Feasibility Study.

BACKGROUND: Generative artificial intelligence (GenAI) chatbots have the potential to provide personalized mental health support to individuals at sca...

From Friends to Lovers: Understanding Motivations and Barriers in AI Companionship.

Artificial intelligence (AI) companions are increasingly used for social, emotional, and sometimes romantic fulfillment, raising questions about how p...

Retinal Vessel Traits and the Risk of Stroke: The Canadian Longitudinal Study on Aging.

PURPOSE: Retinal vascular changes could serve as an early, easily visible indicator of cerebrovascular health. Prior research on retinal vessel traits...

Knowledge, Benefits, and Challenges of ChatGPT Use in Education Among Nursing Students: A Descriptive, Cross-Sectional Study.

BackgroundWith the growing integration of artificial intelligence (AI) tools like ChatGPT in education, it is essential to understand how nursing stud...

Making Artificial Intelligence (AI)-Mediated Translation Visible: A Minimum Disclosure Standard for Qualitative Health Research.

I offer this manuscript as a methodological provocation for qualitative health research at a moment when artificial intelligence (AI)-powered translat...

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study.

As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dy...

Data-Driven Profiles of Youth Executive Function and Their Longitudinal Associations With Externalizing Problems.

OBJECTIVE: Executive function (EF) deficits are observed in externalizing disorders. However, research has yet to explore the specificity of these ass...