Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Background Cardiovascular diseases (CVD) affect over half a billion people worldwide and
are the leading cause of global deaths. In particular, due to population aging and worldwide …

The electrocardiogram (ECG) can capture obesity-related cardiac changes. Artificial
intelligence-enhanced ECG (AI-ECG) can identify subclinical disease. We trained an AI …

The electrocardiogram (ECG) is a ubiquitous diagnostic test. Conventional task-specific
ECG analysis models require large numbers of expensive ECG annotations or associated …

Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECG) has the
potential to transform diagnosis and estimate the prognosis of not only cardiac but …

Background Artificial intelligence (AI)-enabled electrocardiography (ECG) can be used to
predict risk of future disease and mortality but has not yet been adopted into clinical practice …

This article presents an overview of existing approaches to perform vectorcardiographic
(VCG) diagnostics of ischemic heart disease (IHD). Individual methodologies are divided …

The lack of sex-specific cardiovascular disease criteria contributes to the underdiagnosis of
women compared to that of men. For more than half a century, the Framingham Risk Score …

Background: Resting electrocardiogram (ECG) is a valuable non-invasive diagnostic tool
used in clinical medicine to assess the electrical activity of the heart while the patient is …