Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods...
This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...
OBJECTIVES: To analyze agreement between diagnoses issued by the Mediktor application and those of a...
Pain assessment is a critical aspect of medical care, yet automated systems for clinical pain estima...
Inherited platelet disorders (IPDs) are rare conditions with diverse underlying pathophysiology whic...
Autogenous iliac crest bone grating has been the gold standard. Recently, intramedullary bone graft ...
Patients with intracerebral hemorrhage (ICH) are highly susceptible to sepsis. This study evaluates ...
Quantitative structure-activity relationship (QSAR) models are essential for predicting endpoints th...
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for ...
This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital m...
The integration of machine-learning technologies into radiology practice has the potential to signif...
Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma m...
PURPOSE: To evaluate machine learning-based survival model roles in predicting rehospitalization aft...
OBJECTIVE: To develop an early budget impact analysis of and inform future research on the national ...
Sepsis, septic shock, and cardiogenic shock are life-threatening conditions associated with high mor...
Triage is used in emergency departments to ensure timely patient care according to urgency of treatm...
The goal of segmentation in abdominal imaging for emergency medicine is to accurately identify and d...
Accurately predicting the pharmacological and toxicological properties of molecules is a critical st...
Exposure to charcoal biomass (CB) pollutants affects the cardiorespiratory system. We assessed cardi...
IMPORTANCE: Agitation events are increasing in emergency departments (EDs), exacerbating safety risk...
INTRODUCTION: Bone metastases and pathological fractures significantly impact the prognosis and qual...