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 algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research from the ...

The risk assessment tool evaluated in this study included 9 biomarkers that have been shown to play a role in the pathological mechanisms of atherosclerosis sparked by endothelial damage and repair.

A new biomarker-based risk score accurately predicts recurrent events in patients discharged after ACS and does so better than currently used risk-prediction tools, such as GRACE 2.0, according to a ...

“Both the high safety standard and the risk [that] missed ACS poses to patients and clinicians contribute to over-testing, which exposes patients to costs and iatrogenic harm while contributing to ED ...

OAKLAND, Calif.--(BUSINESS WIRE)--Dascena, Inc., a machine learning diagnostic algorithm company that is targeting early disease intervention to improve patient care outcomes, today announced that a ...

In the setting of high-quality clinical care, routinely risk-stratifying with the GRACE score does not have a major impact on the management or outcomes of patients with ACS compared with standard ...