Search Tag: EACVI
2019 14 May
Artificial intelligence ( AI ) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias , reports a study presented at ICNC 2019. The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients . The International Conference on Nuclear Cardiology and...Read more
2016 17 May
A new technique for cardiac magnetic resonance (CMR) imaging can improve accuracy by removing patients’ need to breathe, as the lack of motion allows acquisition of higher quality images in less time, according to research presented at EuroCMR 2016 in Florence, Italy. “In many imaging techniques, but particularly in CMR, you need a relatively...Read more