Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

At the April 2026 Heart Rhythm Society Annual Meeting in Chicago, panelists gathered to discuss a myriad of topics in the rapidly growing cardiovascular care space. Song Zuo, MD, a specialist at the ...

This paper is in the following e-collection/theme issue: Artificial Intelligence (4471) Machine Learning (3003) Pressure Ulcers and Decubitus Wounds (34) Chronic Foot Ulcer and Wounds (35) Artificial ...

"This is the first robust, interpretable, and generalizable AI model capable of identifying individuals with prediabetes using either 12-lead or single-lead ECG data," explains Komiya. DiaCardia is ...

Abstract: In this paper we present fully automatic interpatient electrocardiogram (ECG) signal classification method using deep convolutional neural networks (CNN). ECG is simple and non-invasive way ...

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...