Latest AI and machine learning research in emergency medicine for healthcare professionals.
Stroke affects approximately 12 million individuals annually, necessitating swift diagnosis to avert...
BACKGROUND: Emergency endotracheal intubation is a critical skill for managing airway emergencies in...
The increasing prevalence of environmental pollutants has raised public concern about their potentia...
Volatile organic compounds (VOCs) are a significant concern for human health and environmental safet...
Large language models (LLMs) have demonstrated high performance across various fields due to their a...
BACKGROUND: Hepatic steatosis is a precursor to more severe liver disease, increasing morbidity and ...
Traffic congestion, particularly in rapidly expanding urban centers, significantly impacts the timel...
Approximately 70% of individuals globally experience at least one traumatic event in their lifetime...
INTRODUCTION: Empirical data on the barriers limiting artificial intelligence (AI)'s impact on healt...
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whet...
Rapid and accurate differential diagnosis of infections, sepsis, and septic shock is essential for p...
BACKGROUND: In clinical settings, intracranial hemorrhages (ICH) are routinely diagnosed using non-c...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) pathogenesis is influenced by environmental...
Precise patient positioning is paramount in radiosurgery to ensure the accurate targeting of tumors ...
BACKGROUND: Emergency Departments (EDs) are critical in providing immediate care, often under pressu...
PURPOSE: B-lines in lung ultrasound have been a critical clue for detecting pulmonary edema. However...
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) calculator, a widely use...
BACKGROUND: Early treatment and prevention are the keys to reducing the mortality of VTE in patients...
OBJECTIVES: While ambulance transport decisions guided by artificial intelligence (AI) could be usef...
This study aims to address the critical issue of emergency department (ED) overcrowding, which negat...
Over the past decades, exposure to per- and polyfluoroalkyl substances (PFAS), a group of synthetic ...