Nationally, there has been a rise in the number of children and adolescents with congenital and acquired heart disease ...

Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI (TM) algorithm for cardiac amyloidosis (CA) -- the first and only cleared ...

A quick heart trace taken during a warm-up trot could identify racehorses at risk of cardiac arrhythmias during ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Carnegie Mellon researchers have proven that widely available earbuds can double as heart-monitoring devices, capturing subtle cardiac activity with near-clinical accuracy and potentially expanding ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

Specific FBN1 variants are associated with an increased risk for severe mitral regurgitation and surgery in Marfan syndrome.

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...