Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Artificial intelligence (AI) is an integral part of clinical decision support systems (CDSS),
offering methods to approximate human reasoning and computationally infer decisions …

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

Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …

The advent of digital health and artificial intelligence (AI) has promised to revolutionize
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …

BACKGROUND: The ejection fraction (EF) provides critical information about heart failure
(HF) and its management. Electrocardiography (ECG) is a noninvasive screening tool for …

Background There is a paucity of data on artificial intelligence-estimated biological
electrocardiography (ECG) heart age (AI ECG-heart age) for predicting cardiovascular …

Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis
or monitoring are based on expert knowledge and rule-centered algorithms. In recent years …

Background Hyperkalemia has been associated with increased mortality in cardiac intensive
care unit (CICU) patients. An artificial intelligence (AI) enhanced electrocardiogram (ECG) …

(1) Background: Acute pericarditis is often confused with ST-segment elevation myocardial
infarction (STEMI) among patients presenting with acute chest pain in the emergency …