Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Subarachnoid hemorrhage (SAH) disproportionately affects young adults aged 15-49 years, yet prior global studies have rarely focused on this population and may obscure age-specific patterns by combining all-age data. We therefore quantified the global burden of SAH in young adults and explored disparities by sex and socio-demographic index (SDI) level. METHODS: Using Global Burden of D...
RATIONALE AND OBJECTIVES: Pediatric supracondylar fractures (SCFs) are the most common elbow injury in children, yet radiographic diagnosis remains challenging due to complex developmental anatomy, with initially missed fracture rates of 17-77%. Prior artificial intelligence (AI) studies have been limited to binary classification frameworks without Gartland subtype differentiation, and no diagnost...
OBJECTIVES: This study aims to evaluate a triage approach prioritising assessment of patients with inflammatory rheumatic and musculoskeletal disease ...
Perfluorooctane sulfonate (PFOS), a persistent environmental pollutant, has been implicated in metabolic dysfunction-associated steatotic liver diseas...
Osteoarthritis (OA) is a common chronic joint disease, and cadmium (Cd) exposure may contribute to its progression. This study integrated network toxi...
PURPOSE OF REVIEW: To provide a practical, physiology-driven framework for advanced hemodynamic monitoring in patients with acute heart failure (AHF) ...
Workplace violence and sleep disorders are common among emergency department (ED) nurses, yet heterogeneity in violence exposure and its relationship ...
OBJECTIVE: To conduct a comprehensive bibliometric analysis of 50 years of publications in Skeletal Radiology to evaluate publication trends, citation...
RATIONALE: For critically ill adults receiving invasive mechanical ventilation, randomized trials have found no significant average treatment effect o...
OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) emphasize the duration of dual antiplatelet therapy...
Drilling and blasting during the construction of tunnels generate large amounts of dust. Accurately predicting dust yield helps to formulate effective...
N- (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and ha...
BACKGROUND: Coronoid process fractures, which comprise 10-15% of elbow injuries, are critical contributors to joint instability but remain poorly char...
BACKGROUND: Plasma D-dimer levels are independently associated with poor prognosis following aneurysmal subarachnoid hemorrhage (aSAH). However, the u...
The DrugMatrix database contains systematically generated toxicogenomics data from short-term in vivo studies for over 600 chemicals. However, most po...
Wildfires are a major disturbance in Mediterranean forests, yet long-term burned-area accounting remains uncertain in fragmented landscapes where coar...
Cerebral aneurysms are complex vascular lesions whose rupture can result in subarachnoid hemorrhage (SAH), a condition associated with substantial mor...
BACKGROUND: Large language models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summarie...
Diabetic Retinopathy (DR) is a leading cause of preventable blindness, and it is important to accurately detect it as early as possible, as well as to...
RATIONALE AND OBJECTIVES: The study aimed to develop and validate a deep learning (DL) model based on X-ray and computed tomography (CT) to diagnose a...