Emergency Medicine

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

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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...

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...

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...

[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...

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...

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...

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...

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...

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...

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...

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...

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

There is increasing popularity in the use of artificial intelligence and machine-learning techniques...

Augmenting Osteoporosis Imaging with Machine Learning.

PURPOSE OF REVIEW: In this paper, we discuss how recent advancements in image processing and machine...

Are rib fractures stable? An analysis of progressive rib fracture offset in the acute trauma setting.

BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decisio...

Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induc...

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...

Artificial intelligence in musculoskeletal conditions.

Artificial intelligence (AI) is an iterative process by which information is captured, transformed i...

New Method for Surgical Diagnostics - a Robotic Telemedical Approach.

Apart from the tremendous increase in the demand for telemedicine during the COVID-19 pandemic, the ...

Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

OBJECTIVES: Accurately stratifying patients in the preoperative period according to mortality risk i...

Spatial Detection of the Shafts of Fractured Femur for Image-Guided Robotic Surgery.

Femur fractures due to traumatic forces often require surgical intervention. Such surgeries require ...

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