(Courtesy: Journal of Nuclear Medicine) Predicting the future risk of heart attack is challenging, particularly in patients with coronary artery disease ... when incorporated into machine learning ...

Talk about a kid with a lot of heart. A 14-year-old from Frisco, Texas, developed a groundbreaking smartphone app to detect ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model ... The proposed approaches use modern technology and feature ...

To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic ... the researchers used a machine learning algorithm called ...

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure ... Researchers said the use of AI and machine learning can accelerate our ability ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

A study by scientists shows machine learning models improve prediction of heart disease in women ... improve early detection of disease,”. Using the machine learning models, the scientists ...

"We wanted to use advanced data analytic techniques, like machine learning, to predict ... week on physical activity -- half of the four hours recommended by the Centers for Disease Control ...