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 ...

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 ...

Adults with congenital heart defects were more likely to experience an abnormal, irregular heartbeat, finds a new study. Almost 1 in 5 adults with congenital heart disease living in Israel had or ...