Emergency Medicine

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

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Showing 1408-1428 of 5,236 articles
Deep learning for emergency ascites diagnosis using ultrasonography images.

PURPOSE: The detection of abdominal free fluid or hemoperitoneum can provide critical information fo...

Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

This app project was aimed to remotely deliver diagnoses and disease-progression information to COVI...

FLeAC: A Human-Centered Associative Classifier Using the Validity Concept.

Fuzzy associative classifiers (FACs) have recently received considerable attention in the data minin...

Artificial Intelligence and Machine Learning for Lead-to-Candidate Decision-Making and Beyond.

The use of artificial intelligence (AI) and machine learning (ML) in pharmaceutical research and dev...

Few-Shot Emergency Siren Detection.

It is a well-established practice to build a robust system for sound event detection by training sup...

Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department.

Hemorrhagic stroke is a serious clinical condition that requires timely diagnosis. An artificial int...

Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications.

Recently, research on the development of artificial intelligence (AI)-based computational toxicology...

Intracerebral hemorrhage detection on computed tomography images using a residual neural network.

Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by the ru...

Predicting early failure of quantum cascade lasers during accelerated burn-in testing using machine learning.

Device life time is a significant consideration in the cost of ownership of quantum cascade lasers (...

Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.

The value of artificial intelligence (AI) in healthcare has become evident, especially in the field ...

Can images crowdsourced from the internet be used to train generalizable joint dislocation deep learning algorithms?

OBJECTIVE: Deep learning has the potential to automatically triage orthopedic emergencies, such as j...

Analysis and Prevention and Control System of Domino Accident Risk Data in Chemical Parks Based on Topological Neural Network.

A topologically based neural network algorithm is used to conduct an in-depth study and analysis of ...

Detecting total hip arthroplasty dislocations using deep learning: clinical and Internet validation.

OBJECTIVE: Periprosthetic dislocations of total hip arthroplasty (THA) are time-sensitive injuries, ...

Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especi...

New-Onset Transient Global Amnesia: A Clinical Challenge in an Air Medical Transportation Pilot With a History of Coronavirus Disease 2019.

A 43-year-old male Bell 214C helicopter pilot presented to the emergency ward with flu-like syndrome...

Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

INTRODUCTION: Proximal humeral fractures account for a significant proportion of all fractures. Deta...

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning.

Digital radiography is widely available and the standard modality in trauma imaging, often enabling ...

An image classification deep-learning algorithm for shrapnel detection from ultrasound images.

Ultrasound imaging is essential for non-invasively diagnosing injuries where advanced diagnostics ma...

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