Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Abstract: heart disease is a prevalent cause of mortality worldwide, and the ability to identify and prevent this ailment at an early stage is crucial for enhancing patient outcomes. Recently, ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

Abstract: heart disease remains the leading cause of mortality worldwide, accounting for millions of deaths annually. Despite medical advancements, the early detection and accurate prediction of ...

For years, body mass index (BMI) has been the standard tool for assessing obesity and cardiovascular risk. But new research suggests (yet again) it may be missing people who are at real risk of heart ...

ROCHESTER, Minn. — Mayo Clinic says its cardiologists Peter Noseworthy, M.D., and John Giudicessi, M.D., Ph.D., are making strides in detecting a genetic heart condition early, potentially offering ...

Share on Pinterest A new study found that waist-to-height ratio was closely linked to heart disease risk than BMI or waist circumference. Ableimages/Getty Images A new study suggests your body shape ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

Background: Wearable devices can capture 1-lead ECGs but are primarily used for detecting rhythm disorders. AI deployed on these ECGs could enable scalable detection of structural heart diseases (SHDs ...