Emergency Medicine

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

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Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient...

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

OBJECTIVE: Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We ...

Modelling the removal of volatile pollutants under transient conditions in a two-stage bioreactor using artificial neural networks.

A two-stage biological waste gas treatment system consisting of a first stage biotrickling filter (B...

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical de...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.

Convolutional neural networks (CNNs) are deep learning network architectures that have pushed forwar...

Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.

Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand ...

Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.

BACKGROUND: The authors have previously demonstrated highly reliable automated classification of fre...

A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine.

OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteri...

The Study of Intelligent Vehicle Navigation Path Based on Behavior Coordination of Particle Swarm.

In the behavior dynamics model, behavior competition leads to the shock problem of the intelligent v...

Abdominal compartment syndrome in traumatic hemorrhagic shock: is there a fluid resuscitation inflection point associated with increased risk?

BACKGROUND: The volume of fluid administered during trauma resuscitation correlates with the risk of...

Heat shock protein A12B protects against sepsis-induced impairment in vascular endothelial permeability.

BACKGROUND: As a common and life-threatening infectious syndrome, sepsis contributes significantly t...

Effect of different veneering techniques on the fracture strength of metal and zirconia frameworks.

PURPOSE: To determine whether the fracture strengths and failure types differed between metal and zi...

A Case of Influenza Associated Fulminant Myocarditis Successfully Treated with Intravenous Peramivir.

We report the case of a patient with fulminant myocarditis caused by influenza A virus, who presente...

GC-MS analysis of the designer drug α-pyrrolidinovalerophenone and its metabolites in urine and blood in an acute poisoning case.

α-Pyrrolidinovalerophenone (α-PVP) is a synthetic cathinone belonging to the group of "second genera...

Preparation, characterization and toxicological investigation of copper loaded chitosan nanoparticles in human embryonic kidney HEK-293 cells.

Metallic nanoparticles often attribute severe adverse effects to the various organs or tissues at th...

Modification of Shape Memory Polymer Foams Using Tungsten, Aluminum Oxide, and Silicon Dioxide Nanoparticles.

Shape memory polymer (SMP) foams were synthesized with three different nanoparticles (tungsten, sili...

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