Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way of ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

CHICAGO, Oct. 28, 2024 /PRNewswire/ -- Cardiosense, a digital health company developing heart failure management platforms for the early detection of worsening heart failure, today presented clinical ...

Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk assessment ...

For the past decade, Eko Health has been advancing the use of artificial intelligence to help providers detect the early signs of disease, particularly heart and lung conditions, during routine ...