Nature

Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals

With an increase in the aging population, the incidence of cardiovascular disease is increasing, and it is more important than ever to understand the risk factors associated with the disease and its ...
Nature

Deep Learning Techniques for ECG Signal Analysis

Deep learning techniques have transformed electrocardiogram (ECG) analysis through automatic feature learning and robust classification. End-to-end neural networks, particularly convolutional and ...
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Authors: Monica Kraft, MD, Health System Chair of the Department of Medicine; Girish N. Nadkarni, MD, MPH, CPH, Chief AI Officer and Chair of the Department of Artificial Intelligence and Human Health ...

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 should trust the model ...
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 ...
Business Wire

Anumana Receives First and Only FDA Clearance for ECG-AI Cardiac Amyloidosis Algorithm Using a Standard 12-Lead ECG

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) ...