AI-ECG: A New Market For A Century-Old Test

The 12-lead ECG hasn't changed in a century. The algorithms reading it have. Three CEOs and one educator on whether doctors ...
Kennesaw State University

Student research uses machine learning to improve heart disease diagnosis

Kennesaw State University student Josiah Ware is helping turn CT scans into digital models of the human heart, research that could one day help doctors detect problems faster and personalize treatment ...
BMJ

Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
Hosted on MSN

What you should know about mini machines on difficult projects

Mini Machines Like Skid Steers And Excavators Are Powerful And Versatile, But When Tackling Tough Projects, They Can Come With Hidden Costs That Many Operators Overlook. In This Guide, You Will Learn ...
IEEE

Machine Learning based approach for Myocardial Infarction Prediction using real time ECG Signals

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...
The Lancet

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...
Times Citizen

Ackley Medical Center awarded grant for EKG machine

Hansen Family Hospital is pleased to announce the purchase of an EKG machine at Ackley Medical Center through a grant provided by the Ackley Community Foundation. The EKG (electrocardiogram) machine ...