Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review

R Khera, EK Oikonomou, GN Nadkarni… - Journal of the American …, 2024 - jacc.org
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias

PN Hsieh, JP Singh - Current Cardiology Reports, 2024 - Springer
Abstract Purpose of Review To survey recent progress in the application of implantable and
wearable sensors to detection and management of cardiac arrhythmias. Recent Findings …

AI-enabled diagnosis from an electrocardiogram image: the next frontier of innovation in a century-old technology

R Khera - Heart, 2024 - heart.bmj.com
A hundred years ago, in 1924, Willem Einthoven won the Nobel Prize for Physiology and
Medicine for his invention of electrocardiography. Over a century, we have continued to …

Foundation Models in Electrocardiogram: A Review

Y Han, C Ding - arXiv preprint arXiv:2410.19877, 2024 - arxiv.org
The electrocardiogram (ECG) is ubiquitous across various healthcare domains, such as
cardiac arrhythmia detection and sleep monitoring, making ECG analysis critically essential …