Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Influence of the central venous site on the transpulmonary thermodilution parameters in critically ill burn patients.

The aim of this study was to verify the measurement concordance of cardiac index (CI), extra-vascula...

Apolipoprotein A-I: A Molecule of Diverse Function.

Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...

Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emer...

Features identification for automatic burn classification.

PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photograp...

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting.

BACKGROUND: There are no widely used models in clinical care to predict outcome in acute lower gastr...

Proximal tibia fracture in a patient with incomplete spinal cord injury associated with robotic treadmill training.

STUDY DESIGN: One case report of proximal tibia fracture in a patient with incomplete spinal cord in...

A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ran...

Demand Forecast Using Data Analytics for the Preallocation of Ambulances.

The objective of prehospital emergency medical services (EMSs) is to have a short response time. By ...

Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality...

Applying artificial neural networks to predict communication risks in the emergency department.

AIMS: To describe the utility of artificial neural networks in predicting communication risks.

Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.

BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspec...

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression m...

Hemoglobin-based oxygen carriers promote systemic hyperfibrinolysis that is both dependent and independent of plasmin.

BACKGROUND: Hyperfibrinolysis plays an integral role in the genesis of trauma-induced coagulopathy. ...

Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...

The Quebec rural emergency department project: a cross-sectional study of a potential two-pronged strategy in the knowledge transfer process.

INTRODUCTION: Health services research generates useful knowledge. Promotion of implementation of th...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application...

Variable importance and prediction methods for longitudinal problems with missing variables.

We present prediction and variable importance (VIM) methods for longitudinal data sets containing co...

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