conditions affecting the heart muscle (cardiomyopathies and myocarditis). Around 920,000 people in the UK were living with heart failure in 2018 with an estimated 200,000 new diagnoses each year.

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) ...

Please provide your email address to receive an email when new articles are posted on . Researchers envision training the algorithm to help cardiologists identify liver disease from subcostal views. A ...

Please provide your email address to receive an email when new articles are posted on . An AI-based algorithm for the detection of heart failure gained FDA clearance. The system is designed to quickly ...

A new algorithm has been developed to detect coronary artery disease solely from patient facial photos. The proof-of-concept, published in the European Heart Journal, needs more refinement before it ...

Scientists from the University of Virginia School of Medicine have built an algorithm that may shed crucial light on genetic diseases, as well as help physicians and medical experts to rapidly ...

Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world. From vehicle collision avoidance to airline scheduling systems ...

Today, the FDA granted "breakthrough status" to an algorithm that could make screening for heart failure more accessible -- both in traditional clinics and telehealth settings. The algorithm uses a ...

A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure, and for how long, whether or not they receive a heart transplant. The algorithm would ...

The diagnostics advisory committee looked at evidence on algorithm-based remote monitoring of heart failure in people with cardiac implantable electronic devices (CIEDs). Evidence was considered from ...