Leveraging wearable device data available in the All of Us cohort—a large National Institutes of Health research program using participant health data to accelerate medical discovery—they found that ...

An artificial intelligence program developed by investigators in the Smidt Heart Institute and their Cedars-Sinai colleagues can detect a type of abnormal heart rhythm that can go unnoticed during ...

Scientists at Northwestern Medicine have developed a new genetic risk score that predicts who is most likely to experience irregular or dangerous heart rhythms. The test merges several types of ...

At the April 2026 Heart Rhythm Society Annual Meeting in Chicago, panelists gathered to discuss a myriad of topics in the rapidly growing cardiovascular care space. Song Zuo, MD, a specialist at the ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks. (Nanowerk Spotlight) A sudden cardiac arrhythmia, a ...

Cardiologists have developed an algorithm to detect an irregular heart rhythm called A-Fib a month before it happens. It's one example of AI finding patterns the human eye can't see. Using artificial ...

Cardiovascular scientists at City St George's, University of London, have identified crucial clues from a heart rhythm test that could detect hidden heart disease in young people, according to ...

Smartphone-based heart rhythm monitoring from home can reduce same-day cancellations and help save significant healthcare resources ahead of planned electrical cardioversion in patients with atrial ...

Atrial fibrillation, or A-fib, is an irregular heart rhythm that increases a person’s risk of stroke, heart failure and even premature death. While many risk factors contribute to A-fib, one stands ...