Emergency Medicine

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emerg...

Successful Resuscitation of a Young Girl Who Drank Rivastigmine With Respiratory Failure.

Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...

A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predi...

Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.

OBJECTIVE: Emergency departments (EDs) continue to pursue optimal patient flow without sacrificing q...

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic s...

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.

BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data ...

Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predi...

Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural Networks.

We present in this paper the application of deep convolutional neural networks (CNNs), which is a st...

Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles.

From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical ...

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents...

[Robotic-assisted supraomohyoid neck dissection via retroauricular hairline incision].

To explore the feasibility of using da Vinci Surgical System to perform supraomohyoid neck dissecti...

A Double-Blind, Randomized Control Trial of Rapidly Infused High Strong Ion Difference (SID) Fluid Versus Hartmann's Solution on Acid-Base Status in Sepsis Patients in the Emergency Department.

BACKGROUND: Balanced fluids are preferred in initial resuscitation of septic patients based on sever...

Identifying the Long-term Brain Changes Associated With Childhood Trauma Exposure Using Data-Driven Machine Learning Techniques.

Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.

Machine learning has several potential uses in medical imaging for semantic labeling of images to im...

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation.

To determine whether we could train convolutional neural network (CNN) models de novo with a small d...

1D Convolutional Neural Networks for Estimation of Compensatory Reserve from Blood Pressure Waveforms.

We propose a Deep Convolutional Neural Network (CNN) architecture for computing a Compensatory Reser...

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.

Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG ...

Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving ...

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracrani...

Artificial intelligence, osteoporosis and fragility fractures.

PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. T...

Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...