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Subcategories: Emergency Medicine

Showing 1765-1785 of 5,236 articles

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.

BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to prov...

Mar 2021 PMID: 33684578

Deep Neural Network Approach for Continuous ECG-Based Automated External Defibrillator Shock Advisory System During Cardiopulmonary Resuscitation.

Background Because chest compressions induce artifacts in the ECG, current automated external defibr...

Mar 2021 PMID: 33663222

Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.

INTRODUCTION: Within a few months coronavirus disease 2019 (COVID-19) evolved into a pandemic causin...

Mar 2021 PMID: 33856307

Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.

COVID-19 pandemic has flooded all triage stations, making it difficult to carefully select those mos...

Mar 2021 PMID: 33675198

Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.

BACKGROUND: Osteoporosis has increased and developed into a serious public health concern worldwide....

Mar 2021 PMID: 33661911

HistoNet: A Deep Learning-Based Model of Normal Histology.

We introduce HistoNet, a deep neural network trained on normal tissue. On 1690 slides with rat tissu...

Mar 2021 PMID: 33653171

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis.

BACKGROUND AND OBJECTIVES: Computer-aided diagnosis relies on machine learning algorithms that requi...

Mar 2021 PMID: 33714842

A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID-19.

During the COVID-19 pandemic, dermatologists reported an array of different cutaneous manifestations...

Feb 2021 PMID: 33604961

Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conv...

Feb 2021 PMID: 33637807

Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.

Background and purpose - A correct diagnosis is essential for the appropriate treatment of patients ...

Feb 2021 PMID: 33627045

Prediction of cerebral perfusion pressure during CPR using electroencephalogram in a swine model of ventricular fibrillation.

BACKGROUND: Measuring the quality of cardiopulmonary resuscitation (CPR) is important for improving ...

Feb 2021 PMID: 33721657

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm.

BACKGROUND: Prognostication of neurological outcome in patients who remain comatose after cardiac ar...

Feb 2021 PMID: 33632280

Browse Categories

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.

Deep Neural Network Approach for Continuous ECG-Based Automated External Defibrillator Shock Advisory System During Cardiopulmonary Resuscitation.

Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.

Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.

Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.

HistoNet: A Deep Learning-Based Model of Normal Histology.

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis.

A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID-19.

Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.

Prediction of cerebral perfusion pressure during CPR using electroencephalogram in a swine model of ventricular fibrillation.

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm.

Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico.

An Improved Double Channel Long Short-Term Memory Model for Medical Text Classification.

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning.

Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables.

An adaptive digital stain separation method for deep learning-based automatic cell profile counts.

Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.

A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

From predictions to prescriptions: A data-driven response to COVID-19.

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