(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 ...

The National Heart Center Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of SENSE (Singapore hEart lesioN analySEr), a nationwide AI initiative that ...

However, these tools use only a ... For example, machine learning models have been designed to accurately predict the five-year or ten-year risk of coronary artery disease based on EHR data.

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 ...

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 ...

Current guidelines for the diagnosis of coronary heart disease rely on probability ... "Our developed [thermal imaging] prediction models, based on advanced [machine learning] technology, have ...

"While traditional clinical models are easy to use, we can now use machine learning ... factors for heart disease. Leveraging new technologies is a promising way to improve risk prediction.