Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Abstract: The application of artificial intelligence and deep learning in cardiology has great potential for diagnostics and prevention of cardiovascular diseases. This work contributes to the ...
AliveCor announced today that it received FDA clearance for the next generation of its AI technology for the Kardia 12L ECG ...
Abstract: The value of Electrocardiogram (ECG) monitoring in early cardiovascular disease (CVD) detection is undeniable, especially with the aid of intelligent wearable devices. Despite this, the ...
Larry A. Allen, MD, MHS, FAHA, FACC; Mats Börjesson, MD, PhD, FACC; Alan C. Braverman, MD, FACC; Julie A. Brothers, MD; Silvia Castelletti, MD, MSc, FESC; Eugene H ...
Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
In this issue of the journal, Shoji et al showed that isolated non-specific ST-segment and T-wave abnormalities (NSSTTAs) are associated with incident heart failure (HF).1 The authors conducted a ...
OBJECTIVE: Preparticipation screening of athletes by electrocardiography is the most crucial step in determining sudden cardiac death risk factors. Several electrocardiography interpretation software ...
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