Healio

AI model detects heart disease in hospitals lacking advanced imaging

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Mirage News

AI ECG Analysis Aids Early COPD Detection: Mount Sinai

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
IEEE

Lightweight Hybrid Deep Learning Architecture for Single-Lead ECG Atrial Flutter Subtyping in IoMT Systems

Abstract: Accurate classification of atrial arrhythmias from single-lead ECG recordings presents significant clinical challenges, particularly for atrial flutter (AFL) subtypes characterized by ...
IEEE

Enhanced ECG Classification Using Deep Convolutional Neural Networks

Cardiovascular diseases continue to pose a significant global health problem, accounting for approximately 32% of all global deaths according to the World Health Organization. Emphasizing the urgent ...