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

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 ...

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 ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction.

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

Researchers have used machine learning to assess bone density scans for calcification in the aorta, the body’s main artery. They say their method could be used to predict future cardiovascular ...

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 ...