Hosted on MSN

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 ...
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, ...
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 ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
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 ...
Scientific Research Publishing

Sporadic Hemiplegic Migraine Case Study and Classification Using Machine Learning ()

1 San Juan Bautista School of Medicine, Caguas, PR, USA. 2 Independent Researcher, Monmouth County, NJ, USA. There are two types of hemiplegic migraines: sporadic hemiplegic migraine (SHM) and ...