Tag: machine learning in cardiology

An AI-based auscultation device that detects congestion in patients discharged after acute heart failure was associated with higher risks of ...

A routine 12-lead electrocardiogram, the most ubiquitous and inexpensive diagnostic test in medicine, may hold far more information about the ...

Researchers at the University of Surrey have identified three distinct health trajectories followed by people during the five years after ...

In a groundbreaking advancement poised to transform cardiovascular medicine, researchers have engineered sophisticated artificial intelligence (AI) models capable of parsing ...

In a groundbreaking study poised to reshape our understanding of cardiovascular health, researchers have unveiled how distinct clusters of vascular ...

In an era where cardiovascular diseases are a leading cause of mortality, the importance of precise coronary artery segmentation cannot ...

In a groundbreaking study by Huyut, Velichko, Belyaev, and colleagues, researchers have illuminated the complex and critical role of machine ...

Mount Sinai researchers have made significant strides in the identification and risk assessment of hypertrophic cardiomyopathy (HCM) through the calibration ...

In a groundbreaking development presented at EHRA 2025, a scientific congress of the European Society of Cardiology, researchers have unveiled ...

In a groundbreaking study, researchers from Tsinghua University and Beijing Tsinghua Changgung Hospital have unveiled a revolutionary method to enhance ...