Patient safety / Risk Management

Natural language processing identifies symptoms predicting complete coronary artery occlusion in patients with NSTEMI.

AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary sy...

Learning to Lead: A Practical Framework for Leadership Development in Canadian Radiology.

Leadership has emerged as a core competency for Canadian radiologists navigating an era of challenge...

A Five-Step Faculty Development Checklist for Artificial Intelligence in Nursing Education.

BACKGROUND: Artificial intelligence (AI) is increasingly available to faculty and students, yet adop...

Behavior Change Content and Implementation of Large Language Model-Driven Conversational Agents in Cardiometabolic Care: Scoping Review.

BACKGROUND: Large language models (LLMs) are increasingly embedded in conversational agents for card...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illness Care: Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being used to ...

Tree-based machine learning models recover rule-based flare labels from virtual symptom diaries in pediatric Behçet's disease: an in silico proof-of-concept study.

Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result...

Recent advances in machine learning and Bayesian modeling for tropical disease prediction, diagnosis, and risk analysis: a scoping review.

BACKGROUND: Enhancing the capacity to forecast tropical disease transmission, identify key risk fact...

Autism-Related Information on Websites and General-Purpose Artificial Intelligence Chatbots: Comparative, Bilingual Study.

BACKGROUND: Parents increasingly consult the internet, both websites and, more recently, artificial ...

Towards transparent and reliable AI in gastroenterology: pragmatic recommendations for evaluation and reporting.

Artificial intelligence (AI) is expanding in gastroenterology, particularly in endoscopy and imaging...

A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT).

Generative artificial intelligence (AI) is rapidly becoming embedded across scientific workflows, ye...

Air pollution and autism-like traits: sensitive periods and joint effects of exposure to sources and constituents of fine particulate matter.

Growing evidence suggests that exposure to air pollution during early life is associated with autism...

Registered AI Medical-Imaging Clinical Trials on ClinicalTrials.gov: Publication Yield, Predictors, and Portfolio Evolution.

RATIONALE AND OBJECTIVES: Although artificial intelligence (AI) clinical trials in medical imaging h...

Trustworthy AI for personalized glycemic control: a systematic review and critical appraisal of multimodal forecasting and safety-critical closed-loop control.

Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term micro...

Effectiveness of Humanized AI Avatars and Messenger Gender for Dental Postprocedure Instructions: Two Randomized Experiments.

BACKGROUND: Postcare instructions play a vital role in preventive health care. Traditionally, inform...

Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.

PURPOSE: Financial challenges in healthcare systems worldwide, especially in low- and middle-income ...

Author Disclosure of Use of Generative Artificial Intelligence Technologies in Submissions to AJR: Reflections From the AJR Editor in Chief.

From Honorary Authorship to AI-Assisted Writing: Two Challenges to Genuine Scientific Contribution.

The integrity of scientific authorship has long been challenged by practices that obscure the true i...

Assessing corporate sustainability with large language models: evidence from Europe.

Companies play a crucial role in achieving global sustainability goals, yet evidence on their progre...

The algorithmic covenant: why AI-driven consent must not replace clinician responsibility.

Health systems are increasingly deploying artificial intelligence (AI) tools to deliver procedural i...

Advancing evidence-informed policy: outcomes of the global research agenda on knowledge translation.

BACKGROUND: Knowledge Translation (KT) research investigates methods to promote the uptake of resear...

Value and Credibility of Meta-Analysis: Tutorial on Enhancing Methodological Rigor and AI-Powered Efficiency.

The value of a meta-analysis is based on its methodological and statistical rigor, yet many publishe...