Latest AI and machine learning research in emergency medicine for healthcare professionals.
The aim of this study was to verify the measurement concordance of cardiac index (CI), extra-vascula...
Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emer...
PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photograp...
BACKGROUND: There are no widely used models in clinical care to predict outcome in acute lower gastr...
STUDY DESIGN: One case report of proximal tibia fracture in a patient with incomplete spinal cord in...
Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ran...
The objective of prehospital emergency medical services (EMSs) is to have a short response time. By ...
BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality...
AIMS: To describe the utility of artificial neural networks in predicting communication risks.
UNLABELLED: The aim of the study was to compare the intubation times and success rates of various la...
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction mo...
BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspec...
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression m...
BACKGROUND: Hyperfibrinolysis plays an integral role in the genesis of trauma-induced coagulopathy. ...
BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...
INTRODUCTION: Health services research generates useful knowledge. Promotion of implementation of th...
Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application...
PURPOSE: To assess the impact of HA on robotic PN (RPN) outcomes.
We present prediction and variable importance (VIM) methods for longitudinal data sets containing co...
Echinacea is used for its immunostimulating properties and may have a role in modulating adverse imm...