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AI model predicts cardiac arrest up to 15 minutes early

Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing ECG patterns like language. The system ...
Frontiers

Machine Learning and Artificial Intelligence for Optimizing the Diagnosis and Management of Cardiovascular Disease

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...
Hosted on MSN

AI model detects atrial fibrillation with over 90% accuracy

At the Heart Rhythm Society 2026 meeting, researchers unveiled AI-powered algorithms capable of detecting atrial fibrillation (AF) with over 90% accuracy, even in cases where traditional ECG ...
MD&M East

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

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 ...
IEEE

Sleep Stage Classification Using a Non-contact Capacitive ECG Mattress with Machine Learning Approaches: A Feasible Study

Abstract: Sleep stage classification is essential for diagnosing sleep disorders. However, the clinical reliance on polysomnography (PSG) faces significant challenges due to its high cost, ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
GitHub

ECG Arrhythmia Classification using MIT-BIH Dataset

This project implements an end-to-end deep learning pipeline for automated heartbeat classification using the MIT-BIH Arrhythmia Dataset. The system performs ECG signal preprocessing, heartbeat ...
IEEE

Certain Examination on ECG Classification using Hybrid Machine Learning Models

Abstract: A Non-stationary signal called an electrocardiogram (ECG) is utilized to evaluate the rate of cardiac beats. Doctors can identify Abstract - Heart Rate Variations (HRV) is one of the major ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...