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

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 ...

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.

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

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 ...

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 ...

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease Use of high-speed video microscopy and artificial intelligence provides calculated ...