Emergency Medicine

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

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Showing 1429-1449 of 5,236 articles
Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review.

OBJECTIVE: This systematic literature review aims to demonstrate how Artificial Intelligence (AI) is...

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

BACKGROUND: In infant abuse investigations, dating of skeletal injuries from radiographs is desirabl...

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.

Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complicat...

Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller.

Cardiopulmonary resuscitation refers to the process of sending oxygen and blood to the body's vital ...

Parental Perceptions on Use of Artificial Intelligence in Pediatric Acute Care.

BACKGROUND: Family engagement is critical in the implementation of artificial intelligence (AI)-base...

Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method.

BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the ty...

Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley-Leverett problem.

Physics-informed neural networks (PINNs) have enabled significant improvements in modelling physical...

Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology.

Humans are exposed to numerous compounds daily, some of which have adverse effects on health. Comput...

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...

Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme.

PURPOSE: The need for computerized medical assistance for accurate detection of brain hemorrhage fro...

Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi.

Alternative methods to animal use in toxicology are evolving with new advanced tools and multilevel ...

FractureNet: A 3D Convolutional Neural Network Based on the Architecture of m-Ary Tree for Fracture Type Identification.

To address the problem of automatic identification of fine-grained fracture types, in this paper, we...

Cardiac auscultation predicts mortality in elderly patients admitted for COVID-19.

INTRODUCTION: COVID-19 has had a great impact on the elderly population. All admitted patients under...

POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery.

BACKGROUND: Delays in admitting high-risk emergency surgery patients to the intensive care unit resu...

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing.

BACKGROUND AND PURPOSE: Prioritizing reading of noncontrast head CT examinations through an automate...

Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.

This article presents an effort toward building an artificial intelligence (AI) assisted framework, ...

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.

Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI, accurate elec...

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.

OBJECTIVE: Most cardiac arrest patients who are successfully resuscitated are initially comatose due...

The Need for Medical Artificial Intelligence That Incorporates Prior Images.

The use of artificial intelligence (AI) has grown dramatically in the past few years in the United S...

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