BIOENGINEER

Hybrid AI Model Achieves 98.2% Accuracy in Multi-Lead ECG Diagnosis

Researchers at a collaboration involving M. Mounika and Y. Lakshmi Prasanna have introduced CardioDeepAI, a comprehensive ...
BIOENGINEER

AI Model Classifies Arrhythmia Risk in Three Clinical Levels

A new deep learning algorithm called PaliConvLSTM classifies arrhythmias into three risk levels, achieving 99.68% accuracy on ...
Medical Xpress

Image-based ECG algorithm improves access to care in remote settings

Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, ...