Nature

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with ...

European Patent Granted for ECG-Based Assessment of Diastolic Function, Expands HeartSciences’ Patent Portfolio to More Than 45 Granted Patents

Patent covers machine-learning models that use ECG data to estimate echocardiogram parameters indicative of diastolic functionSouthlake, TX, June 11, 2026 (GLOBE NEWSWIRE) -- HeartSciences Inc.
Nature

AI based ECG data recovery and cardiovascular diseases classification (CEDRC-network)

Cardiovascular diseases (CVDs) are a significant and widespread cause of death in the world, continuing to increase mortality rates. Therefore, timely identification and diagnosis are essential for a ...

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 ...
BioWorld

Heartsciences’ Myovista AI ECG cost-effectively stratifies cardiac risk, study shows

Heart Test Laboratories Inc., doing business as Heartsciences, said an independent study shows its Myovista electrocardiogram (ECG) machine learning model could be a cost-effective way to predict and ...
News Medical

Improved diagnosis of occlusion myocardial infarction using novel machine learning tools

In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...