A study led by scientists at King's has revealed how the physical orientation of the heart inside the chest dramatically influences the electrical signals captured in an electrocardiogram (ECG)—a ...

Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...

“Many practitioners look mainly at surface patterns without fully understanding the physiology behind them," says Dr. Tullo.

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a study led by University of ...

Whether you're studying for the boards or just want to stay sharp, Learn the Heart has the tools you need to challenge your cardiology IQ.

Whether you're studying for the boards or just want to stay sharp, Learn the Heart has the tools you need to challenge your cardiology IQ.

This article is authored by Dr. Ashok Punjabi is a consultant cardiologist with 40 years of non-invase and invasive ...

SAN FRANCISCO, CA—Artificial intelligence-based ECG interpretation (AI-ECG) outperformed standard decision-making when it came to detecting angiographically confirmed STEMI across three primary PCI ...

Congenital heart defects are relatively common, among which atrial septal defects (ASDs) are the most prevalent in adults. Without timely treatment, ASDs may lead to permanent cardiovascular damage ...

A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a new study. A new machine ...