The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …

Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them
super-human diagnostic abilities. Trained without hard-coded rules by finding often …

Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …

In the recent decade, deep learning, a subset of artificial intelligence and machine learning,
has been used to identify patterns in big healthcare datasets for disease phenotyping, event …

Artificial intelligence for the electrocardiogram | Nature Medicine Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …

Since its inception, the electrocardiogram (ECG) has been an essential tool in medicine. The
ECG is more than a mere tracing of cardiac electrical activity; it can detect and diagnose …

Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous
in the daily practice of medicine largely due to several crucial unmet needs of healthcare …

Abstract Aims Deep neural networks (DNNs) perform excellently in interpreting
electrocardiograms (ECGs), both for conventional ECG interpretation and for novel …

We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram
(ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early …

The electrocardiogram is the most widely used diagnostic tool that records the electrical
activity of the heart and, therefore, its use for identifying markers for early diagnosis and …