A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

They found that including social determinants of health in machine learning models improved the ability to predict cardiovascular outcomes like rehospitalization, heart failure, and stroke.

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure -- in patients by using artificial intelligence (AI) to examine the genes in their DNA ...

Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary ...

Bayer taps longtime partner Huma to build online risk prediction tool for heart disease By Andrea Park Feb 6, 2023 9:53am Bayer heart disease screening machine learning ...

A system that spun out of Stanford is using AI and machine learning to help doctors visualise patients' arteries and spare them invasive tests.

Moreover, the machine learning approach can predict cardiac aging with high accuracy.” The fruit fly model has already been tremendously powerful for understanding the pathophysiological bases for ...

The use of deep learning in the analysis of retinal scans could revolutionise the way patients are regularly screened for signs of heart disease.