Emergency Medicine

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

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Showing 3424-3444 of 4,991 articles
Mass Deployment of Deep Neural Network: Real-Time Proof of Concept With Screening of Intracranial Hemorrhage Using an Open Data Set.

BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or ...

Apr 2022 35132970
Death by Robots? Automation and Working-Age Mortality in the United States.

The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. popul...

Apr 2022 35195250
Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies-A Case Study With Toxicogenomics.

Animal studies are a critical component in biomedical research, pharmaceutical product development, ...

Mar 2022 34971401
The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following ...

Mar 2022 34554135
[Application of spinal surgical robots in minimally invasive surgery for thoracolumbar fracture].

OBJECTIVE: To evaluate the safety and accuracy of Renaissance robot navigation system in minimally i...

Feb 2022 35191261
[Management of the nondisplaced type Herbert D1 scaphoid fracture with robot navigation combined with wrist arthroscopy].

To investigate the feasibility and the clinical efficiency of robot navigation combined with wrist a...

Feb 2022 35184505
Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests rema...

Feb 2022 34406171
Validation of a Machine Learning Model for Early Shock Detection.

OBJECTIVES: The objectives of this study were to test in real time a Trauma Triage, Treatment, and T...

Jan 2022 34056656
Comparative analysis of machine learning approaches for predicting frequent emergency department visits.

BACKGROUND: Emergency Department (ED) overcrowding is an emerging risk to patient safety. This study...

Jan 2022 35686745
A New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine Learning.

Early warning prediction of traumatic hemorrhagic shock (THS) can greatly reduce patient mortality a...

Jan 2022 34905530
Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...

Jan 2022 34932043
Transfer Learning of the ResNet-18 and DenseNet-121 Model Used to Diagnose Intracranial Hemorrhage in CT Scanning.

OBJECTIVE: The aim of the study was to verify the ability of the deep learning model to identify fiv...

Jan 2022 34961458
Use of deep learning methods for hand fracture detection from plain hand radiographs.

BACKGROUND: Patients with hand trauma are usually examined in emergency departments of hospitals. Ha...

Jan 2022 35099027
An Early Warning System Using Machine Learning for the Detection of Intracranial Hematomas in the Emergency Trauma Setting.

AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm f...

Jan 2022 35179731
[Percellome Project: research on molecular mechanisms of toxicological responses based on transcriptomics and epigenetics].

We are constructing the "Percellome Database" containing many transcriptomes of mice exposed to a se...

Jan 2022 35491119
Recent Updates and Technological Developments in Evaluating Cardiac Syncope in the Emergency Department.

Syncope is a commonly encountered problem in the emergency department (ED), accounting for approxima...

Jan 2022 35593355
Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for e...

Jan 2022 35869692
The potential applications of artificial intelligence in drug discovery and development.

Development of a new dug is a very lengthy and highly expensive process since only preclinical, phar...

Dec 2021 35199553
Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...

Dec 2021 34889225
Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.

BACKGROUND AND OBJECTIVES: Emergency department (ED) overcrowding is a national crisis in which pedi...

Dec 2021 31268962
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