A team of researchers has used data-mining and machine-learning techniques to find subtle changes in electrical activity in the heart that can be used to predict potentially fatal heart attacks.

Using continuous data on heart rate and electrocardiography from a smartwatch, it produced a complete set of 3D blood flow biomarkers that could correlate with disease progression and adverse events.

Can big data predict heart disease before today’s doctors can? IBM thinks so. The company, joined by Sutter Health and Geisinger Health Systems, has received a $2 million grant to use big data ...

Research from a collaborative team of biomedical engineers, physicians and scientists could enable significant advances for the 40,000 pediatric congenital heart disease patients (CHD) born each year.

Modeling data suggest using race stratification in pooled cohort equation risk calculators does not change a person’s risk for developing atherosclerotic CVD, whereas adding social ...

Discover how the NHS is utilising Big Data and AI technology to revolutionise the treatment of lung and heart disease. Learn about the groundbreaking advancements in healthcare and the future ...

Google's deep-learning algorithm could offer a simpler way to identify factors that contribute to heart disease.

Data demonstrating the safety, efficacy and cost-effectiveness of the HeartFlow Analysis have been published in more than 425 peer-reviewed publications, including long-term data out to five years.