Emergency Medicine

The Extended Supervised Learning Event (ESLE): Assessing Nontechnical Skills in Emergency Medicine Trainees in the Workplace.

STUDY OBJECTIVE: The contribution of emergency medicine clinicians' nontechnical skills in providing...

Computational Systems Pharmacology-Target Mapping for Fentanyl-Laced Cocaine Overdose.

The United States of America is fighting against one of its worst-ever drug crises. Over 900 people ...

Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks.

This study investigated to what extent multimodal data can be used to detect mistakes during Cardiop...

Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health.

Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which ...

A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

BACKGROUND: The rapid deterioration observed in the condition of some hospitalized patients can be a...

Drone-related injuries treated at emergency departments.

Object Detection During Newborn Resuscitation Activities.

OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. Internatio...

Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.

BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial ...

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefi...

Effects of early high-dose erythropoietin on acute kidney injury following cardiac arrest: exploratory analyses from an open-label randomized trial.

BACKGROUND: Acute kidney injury (AKI) is frequent in patients resuscitated from cardiac arrest (CA) ...

Prediction of emergency department patient disposition based on natural language processing of triage notes.

BACKGROUND: Nursing triage documentation is the first free-form text data created at the start of an...

Consensus Development of a Modern Ontology of Emergency Department Presenting Problems-The Hierarchical Presenting Problem Ontology (HaPPy).

OBJECTIVE: Numerous attempts have been made to create a standardized "presenting problem" or "chief ...

Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions.

The objective of this article is to show how artificial intelligence (AI) has impacted different co...

SOCIETY FOR ENDOCRINOLOGY EMERGENCY ENDOCRINE GUIDANCE: Emergency management of acute hypocalcaemia in adult patients.

In this addendum to the above paper, the Society for Endocrinology Clinical Committee and the origin...

Automated brain histology classification using machine learning.

Brain and breast tumors cause significant morbidity and mortality worldwide. Accurate and expedient ...

Multiclass Classifier for P-Glycoprotein Substrates, Inhibitors, and Non-Active Compounds.

P-glycoprotein (P-gp) is a transmembrane protein that actively transports a wide variety of chemical...

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-...

Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability.

In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfire...

Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.

Nano-Particles (NPs) are well established as important components across a broad range of products f...

A machine learning approach for predicting urine output after fluid administration.

BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis...