An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

A recent study published in Fire Safety Journal examines how machine learning, which is a type of artificial intelligence, is being used to recognize abnormal heart rhythms, also known as heart ...

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, ...

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...

At the elegant Suntree Country Club, community members gathered for a well-attended lunch-and-learn centered on one vital topic: heart health.

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 ...