Cardiovascular disease (CVD) can often lead to serious consequences such as death or disability. This study aims to identify a tree-based machine learning method with the best performance criteria for ...

Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe.

Real-world evidence to be presented at the American College of Cardiology Scientific Session 2026 highlights impact of Viz HCM, developed as part of a multi-year agreement with Bristol Myers Squibb, ...

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 Nature Medicine, researchers introduced a new cardiovascular risk prediction algorithm. Study: Development and validation of a new algorithm for improved cardiovascular ...

An AI algorithm based only on routine mammogram images plus age can predict a woman’s risk of major cardiovascular disease as well as standard risk assessment methods, finds research published online ...

SAN FRANCISCO--(BUSINESS WIRE)--Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced that three abstracts featuring Viz HCM, the company’s AI-powered ...

An automated machine learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...