The Cardiology Advisor

AI-Powered ECG Analysis Promising for Early Detection of COPD

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

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 ...
IEEE

Multimodal Deep Learning for ECG Heartbeat Classification with SHAP-Based Interpretability

Abstract: Electrocardiogram (ECG) signals serve as a critical non-invasive diagnostic tool, providing valuable insights into the electrical activity of the heart and are widely used in diagnosing ...
Frontiers

Reinforcement Learning-Guided Optimization of ECG Features for Enhanced Heart Disease Prediction using Stacked CNNs

The final, formatted version of the article will be published soon. Accurate and timely heart disease diagnosis through intelligent ECG signal processing is essential to reducing death rates and ...
Technology Networks

AI-Powered ECG Analysis Could Facilitate Earlier COPD Diagnosis

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
Frontiers

Deep Learning-Based Early Prediction of Life-Threatening Ventricular Arrhythmias Using Long-Term Holter ECG Signals

1 Central People’s Hospital of Zhanjiang, Zhanjiang, China 2 Shenzhen Dawei Medical Technology Development Co., Ltd., Shenzhen, China, Shenzhen, China The final, formatted version of the article will ...
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 hinges on early diagnosis, which is often impeded by non-specific symptoms and ...
IEEE

Robust ECG Classification using Mamba and Self-Supervised Representation Learning

Abstract: Electrocardiograms (ECG) offer a quick and noninvasive method to analyze heart disorders. However, analysis of ECGs under non-ideal or noisy situations presents challenges, even for experts.