Electrocardiography (ECG), improved by artificial intelligence (AI), has become a potential
technique for the precise diagnosis and treatment of cardiovascular disorders. The …

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 …

Abstract The 12‑lead electrocardiogram (ECG) is a common and inexpensive diagnostic
modality available at scale. The ECG reflects electrical activity throughout the cardiac cycle …

Artificial intelligence (AI) applied to cardiovascular disease (CVD) is enjoying great success
in the field of scientific research. Electrocardiograms (ECGs) are the cornerstone form of …

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

Abstract Purpose of Review To (i) review the concept of artificial intelligence (AI);(ii)
summarize recent developments in artificial intelligence-enabled electrocardiogram (AI …

Over one century removed from its birth, the electrocardiogram (ECG) remains an essential,
non-invasive, and cost-effective diagnostic tool to date. ECG interpretation competency …

Many AI models in the domain of cardiac monitors and smart watches have received Food
and Drug Administration (FDA) clearance for rhythm classification, while others for …

Cardiovascular diseases are one of the leading global causes of mortality. Currently,
clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) …

Electrocardiogram (ECG) is a commonly-used, non-invasive examination recording cardiac
voltage versus time traces over a period. Deep learning technology, a robust artificial …