AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
MassDevice

AliveCor earns another FDA nod for AI-powered 12-lead ECG tech

AliveCor announced today that it received FDA clearance for the next generation of its AI technology for the Kardia 12L ECG ...
IEEE

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
IEEE

Classification of ECG patterns for diagnostic purposes by means of Neural Networks and Support Vector Machines

Abstract: This paper presents an application of Neural Networks (NNs) and Support Vector Machines (SVMs) for the detection and classification of heartbeats in electrocardiogram (ECG) signals. The ...
GitHub

Tech Soft 3D tutorials of python CAD framework for machine learning development. Requires HOOPS AI

Recording of the webinar hold on November 6th. Presenting HOOPS AI, check it out!: This repository provides a collection of tutorial materials designed to help users learn and apply the HOOPS AI ...