Emergency Medicine

Chronic Subdural Hematoma Segmentation: A Dedicated Model to Overcome the Limitations of Acute Hemorrhage Segmentation Across Chronic Subdural Hematoma Subtypes and Density Variations.

Most existing intracranial hematoma segmentation models target acute hemorrhages and may not general...

Unlocking clinical narratives: how natural language processing and artificial intelligence can address data deficits and mitigate health inequities in urgent and emergency care.

The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to ...

Advanced high-entropy materials for fuel cells and water electrolysis.

High-entropy materials (HEMs) represent a paradigm shift in developing efficient components of proto...

Performance of Machine Learning Models for Sepsis and Stroke Detection Using EMS Data.

OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage,...

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults w...

CT-Based Glioma Segmentation Using Deep Learning: Validation for Emergency Neuro-oncological Care.

Accurate and rapid delineation of diffuse gliomas is essential in emergency neuro-oncology, yet MRI ...

Integrated machine learning and experimental validation reveal S6K2 as a key target of 6PPD-quinone in bladder cancer.

Tire and Road Wear Particles (TRWP) are pervasive environmental contaminants, yet the molecular mech...

Exploring the mechanisms of diethyl phthalate-induced diabetic nephropathy through integrated network toxicology, machine learning, and experimental validation.

Phthalate plasticizers, especially diethyl phthalate (DEP), are linked to metabolic disorders, while...

Embedded AI-Assisted Otoscopic Image Screening for Pediatric Otitis Media.

OBJECTIVE: To evaluate an embedded artificial intelligence (AI) system for otoscopic image-based scr...

Risk factors and a predictive model for steinstrasse formation after shock wave lithotripsy in pediatric urolithiasis.

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI)...

Extended Rice-Thomson analysis and atomistic simulations revealing grain boundary effects on fracture in refractory high-entropy alloys.

Understanding how grain boundaries mediate fracture remains a critical challenge in designing ductil...

RadTranslateGPT: An Improved AI-Based System for Translation and Simplification of Structured Radiology Reports.

INTRODUCTION: Radiology reports often contain complex medical jargon that can be difficult for patie...

Can an artificial intelligence electrocardiogram algorithm improve diagnostic accuracy for acute coronary occlusion in the difficult subset of canceled catheterization lab activations?

BACKGROUND: ST-segment elevation myocardial infarction (STEMI) and its equivalents describe the elec...

Investigating the potential risk of nicotine exposure on glioblastoma: Integrating Mendelian randomization and network toxicology analysis.

OBJECTIVE: To investigate the potential risk of nicotine exposure on glioblastoma multiforme (GBM). ...

Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.

BACKGROUND: Military and peace-support operations increasingly depend on medical capability delivere...

Leveraging Large Language Models for Contextual Prioritization of Contaminants of Emerging Concern in Chemical Mixtures.

Effective management of chemical mixtures presents a continuing challenge due to the growing diversi...

Impact of Chemical Quality on High-Throughput in Vitro Assays: A Tox21 Study.

The Tox21 10K chemical library, an in vitro toxicology toolbox consisting of more than 8900 unique c...

Opportunistic Cardiovascular Risk Assessment Using Routine Head CT in the Emergency Department.

BACKGROUND: Routine noncardiac computed tomography (CT) imaging may contain information about cardio...

Establishing generalizability of wearable-enabled blood volume decompensation status estimation algorithms using transfer learning.

Timely assessment of blood volume decompensation status (BVDS) is essential for effective trauma int...

Hybrid experimental-QSAR-artificial intelligence framework for chronic ecological risk assessment of emerging pollutants in coastal environments.

Urbanized coastal zones are increasingly exposed to complex mixtures of pharmaceuticals and illicit ...