AI flags heart failure risk five years early from routine ECG recordings

Researchers at the Technion Faculty of Biomedical Engineering have achieved a breakthrough in the early detection of heart ...

Two HeartLung.AI Studies Show Routine Chest CT Assesses Cardiac Risk Like Dedicated Cardiac CT and Echocardiography

Complementary MESA analyses validate AI-derived chamber volumetry from non-gated, non-contrast CT for heart failure and ...
TCTMD

AI-ECG Models Detect Structural Heart Disease, Identify At-Risk Patients

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

HeartSciences Inc. Secures Foundational Patent for AI-Driven ECG Technology Enhancing Heart Function Detection

HeartSciences Inc., a medical technology company based in Southlake, TX, has received a new patent from the USPTO for its AI-powered ECG technology, which enhances the estimation of echocardiography ...
TCTMD

AI-ECG Helps Find Subclinical Heart Failure in Kenya

BELGRADE, Serbia—An artificial intelligence algorithm for interpreting electrocardiograms (AI-ECG) can identify individuals who have subclinical heart failure (HF) when echocardiography isn’t widely ...
EurekAlert!

Using artificial intelligence to calculate the heart’s biological age through ECG data predicts increased risk of mortality and cardiovascular events

Vienna, Austria- 31 March 2025 - While everybody’s heart has an absolute chonological age (as old as that person is), hearts also have a theoretical ‘biological’ age1 that is based on how the heart ...

HeartBeam Awarded New U.S. Patent Expanding Acoustic Sensing and Fluid Monitoring Capabilities of Its Cable-Free ECG Device

HeartBeam Awarded New U.S. Patent Expanding Acoustic Sensing and Fluid Monitoring Capabilities of Its Cable-Free ECG Device ...

Reading the heart: How AI is reshaping cardiac care

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

AI-powered ECG could help guide lifelong heart monitoring for patients with repaired tetralogy of Fallot

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...