Emergency Medicine

Introduction to the Special Series: Applications of Artificial Intelligence in Environmental Toxicology and Chemistry.

Evaluation of an Artificial Intelligence-Based System for Standardized Hand Hygiene Monitoring Among Operating Room Personnel.

ObjectiveThis study developed an artificial intelligence (AI)-based hand hygiene assessment system to improve low-supervision monitoring, enhance compliance in operating rooms, standardize procedures, and reduce the risk of intraoperative infections.MethodsThis system installed high-definition cameras, faucets, and hand sanitizer sensors in the operating room handwashing area to collect real-time ...

Implementing a Commercial AI Fracture Detection Tool in Health Care Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability Framework: A Formative Evaluation Study.

BACKGROUND: Artificial intelligence (AI) has the potential to enhance resource efficiency, improve patient treatment, and increase safety in health ca...

Comment on "Effectiveness of AI-assisted ESI triage on accuracy and selected outcomes in emergency nursing: A systematic review".

AI-assisted Software Development in Digital Dentistry: A Technical Innovation Report with Three Open-Source Applications.

OBJECTIVES: To present a feasible workflow for artificial intelligence (AI)-assisted software engineering in dentistry as a technical innovation repor...

A lightweight improved YOLOv11 framework for intracranial hemorrhage detection.

Timely and accurate detection of intracranial hemorrhage in CT images is essential for emergency intervention and for reducing disability and mortalit...

Annotated digital image correlation displacement fields from fatigue crack growth experiments on aluminium alloys.

We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlati...

Artificial Intelligence Approaches for Osteoporotic Fracture Risk Prediction Using Administrative Health Data: A Systematic Review.

To systematically review Machine Learning (ML) fracture risk prediction models developed solely using administrative data, evaluating their developmen...

[Arterial variations and management strategies in pancreatic surgery].

The pancreas is local in the retroperitoneal space,in close proximity to critical blood vessels such as celiac trunk, superior mesenteric artery, hepa...

The Unseen Aneurysm: Can Artificial Intelligence Bridge the Diagnostic Gap in Angiogram-Negative Subarachnoid Hemorrhage?

CT in adult patients with Polytrauma: current practices, protocol optimization, structured reporting and future directions.

Computed tomography [CT] is the frontline imaging modality for the assessment of polytrauma patients because of its speed, diagnostic accuracy and inf...

Decoding silica nanoparticle toxicity: integrating machine learning, feature importance, rule extraction, and adsorption-uptake processes.

The complexity of nanoparticle toxicity necessitates applying machine learning to large toxicological datasets to identify predictive features and tox...

When Wrong Answers Matter: Consequence-Weighted Evaluation of Large Language Models for ERCP Triage.

BackgroundLarge language models (LLMs) increasingly generate clinical recommendations, but their ability to translate biliary guidelines into safe pro...

Integrative network toxicology, multiomics, and machine learning elucidate zearalenone-induced developmental toxicity mechanisms in zebrafish (Danio rerio).

Zearalenone (ZEN) is a naturally occurring environmental contaminant that is produced by fungi. Developing animals are particularly sensitive to ZEN, ...

Benzo(a)pyrene aggregating lung inflammation via inducing IL1R1 expression in asthma: Insights from network toxicology, single-cell transcriptomics, and Mendelian randomization.

OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with asthma. However, there is a lack of systematic resea...

Prediction of cardiac arrest in patients with heart failure in Sweden: a registry study with development of a machine learning model.

OBJECTIVE: 30-day survival after cardiac arrest is low, 12.4% and 36% for out-of-hospital and in-hospital cardiac arrest, respectively. Heart failure ...

Prediction of all-cause mortality in older adults in Colombia: real-world evidence from a middle-income country.

Accurate mortality prediction in older adults is a critical component of precision public health and risk stratification in healthcare systems worldwi...

A conceptual agentic AI architecture for MASLD-associated significant fibrosis in primary care.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent yet often underdiagnosed or undertreated in primary care due to a...

Artificial Intelligence in emergency department triage: A scoping review.

BACKGROUND: Triage in emergency departments (ED) is a critical process for prioritizing care and ensuring clinical safety. However, current triage sys...

Evaluation of an AI-based segmentation model for mandibular fracture segmentation on CBCT using volumetric and 2D slice-based validation approaches.

OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based segmentation model for mandibular fracture...