Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Frank once told the German writer Stefan Koldehoff that it wasn’t possible to make images like his “without ... gambling with his heart, always moving on. I imagine him moving on from that ...

From pain in the shoulders to dizziness to cold sweats, know the warning signs of heart conditions in women.

Conducted by physicians from the University of California San Diego (UCSD), the case details the first successful use of AI-enabled ECG mapping ... lead tip within the heart.

Everyone’s heart has a chronological age, which matches their actual age in years. However, hearts also have a biological age determined by how well they function. Biological heart age reflects the ...

Subscribe for FREE Their study evaluated the prognostic capabilities of a deep learning based algorithm that calculates biological ECG heart age (AI ECG-heart age) from 12-lead ECGs, comparing its ...

Therefore, to improve speed and accuracy in heart disease (HD) detection, WT-based convolution methods for both 1-D and 2-D data are applied to extract features from ECG signals and CXR images. These ...

At York and 22nd Streets. Photo by David Chalk. Sign up below to get Mission Local’s free newsletter, a daily digest of news you won’t find elsewhere.