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Emergency Service, Hospital

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Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models.

The American journal of emergency medicine Jul 18, 2024
Humans Middle Aged Risk Assessment Severity of Illness Index Emergency Service, Hospital Machine Learning Female Aged Male
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Artificial intelligence for predicting shockable rhythm during cardiopulmonary resuscitation: In-hospital setting.

Resuscitation Jul 17, 2024
AIM OF THE STUDY: This study aimed to develop an artificial intelligence (AI) model capable of predicting shockable rhythms from electrocardiograms (ECGs) with compression artifacts using real-world data from emergency department (ED) settings. Addit...
Electric Countershock Cardiopulmonary Resuscitation Heart Arrest Electrocardiography Emergency Service, Hospital Humans Artifacts Artificial Intelligence Retrospective Studies Female Aged Male Middle Aged ROC Curve
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Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights.

International journal of medical informatics Jul 11, 2024
OBJECTIVE: To determine the incidence of patients presenting in pain to a large Australian inner-city emergency department (ED) using a clinical text deep learning algorithm.
Emergency Service, Hospital Pain Interrupted Time Series Analysis Deep Learning Incidence Australia COVID-19 Electronic Health Records Female SARS-CoV-2 Aged Adult Male Middle Aged Humans
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Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study.

Journal of imaging informatics in medicine Jul 9, 2024
Malposition of a nasogastric tube (NGT) can lead to severe complications. We aimed to develop a computer-aided detection (CAD) system to localize NGTs and detect NGT malposition on portable chest X-rays (CXRs). A total of 7378 portable CXRs were retr...
Humans Taiwan Emergency Service, Hospital Critical Care Radiography, Thoracic Retrospective Studies Female Male Deep Learning Supine Position Intubation, Gastrointestinal
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Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding.

Gastroenterology Jul 5, 2024
BACKGROUND & AIMS: Guidelines recommend use of risk stratification scores for patients presenting with gastrointestinal bleeding (GIB) to identify very-low-risk patients eligible for discharge from emergency departments. Machine learning models may o...
Predictive Value of Tests Female Emergency Service, Hospital Reproducibility of Results Gastrointestinal Hemorrhage Risk Factors Male Machine Learning Humans Aged Middle Aged Decision Support Techniques Risk Assessment Retrospective Studies ROC Curve Electronic Health Records
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Machine learning predicts emergency physician specialties from treatment strategies for patients suspected of myocardial infarction.

International journal of cardiology Jul 2, 2024
BACKGROUND: Our investigation aimed to determine how the diverse backgrounds and medical specialties of emergency physicians (Eps) influence the accuracy of diagnoses and the subsequent treatment pathways for patients presenting preclinically with MI...
Machine Learning Electrocardiography Physicians Emergency Service, Hospital Humans Retrospective Studies Aged Myocardial Infarction Female Emergency Medicine Male Middle Aged Cohort Studies
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Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.

International journal of medical informatics Jun 30, 2024
OBJECTIVES: This study aims to evaluate the fairness performance metrics of Machine Learning (ML) models to predict hospitalization and emergency department (ED) visits in heart failure patients receiving home healthcare. We analyze biases, assess pe...
Middle Aged Home Care Services Hospitalization Humans Risk Assessment Emergency Room Visits Aged Machine Learning Emergency Service, Hospital Aged, 80 and over Female Heart Failure Male
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Artificial neural networks for ECG interpretation in acute coronary syndrome: A scoping review.

The American journal of emergency medicine Jun 24, 2024
INTRODUCTION: The electrocardiogram (ECG) is a crucial diagnostic tool in the Emergency Department (ED) for assessing patients with Acute Coronary Syndrome (ACS). Despite its widespread use, the ECG has limitations, including low sensitivity of the S...
Acute Coronary Syndrome Reproducibility of Results Electrocardiography Humans Emergency Service, Hospital Neural Networks, Computer
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Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER.

Academic radiology Jun 21, 2024
RATIONALE AND OBJECTIVES: To assess a deep learning application (DLA) for acute ischemic stroke (AIS) detection on brain magnetic resonance imaging (MRI) in the emergency room (ER) and the effect of T2-weighted imaging (T2WI) on its performance.
Humans Brain Retrospective Studies Middle Aged Deep Learning Ischemic Stroke Magnetic Resonance Imaging Emergency Service, Hospital Triage Diffusion Magnetic Resonance Imaging Female Aged Sensitivity and Specificity Male
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Health consumers' ethical concerns towards artificial intelligence in Australian emergency departments.

Emergency medicine Australasia : EMA Jun 18, 2024
OBJECTIVES: To investigate health consumers' ethical concerns towards the use of artificial intelligence (AI) in EDs.
Adult Male Middle Aged Qualitative Research Interviews as Topic Australia Emergency Service, Hospital Humans Artificial Intelligence Female Aged
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