To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity ... for other machine learning models that make specific predictions.

(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 ...

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 ...

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 ...

Scientists from Google and its health-tech subsidiary Verily have discovered a new way to assess a person’s risk of heart disease using machine learning ... then be used to predict their ...

Software developed using machine learning can be used to predict someone’s risk of heart disease in less than a minute by analyzing the veins and arteries in their eye. The new research ...

Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using ... the machine learning approach can predict cardiac aging ...