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

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

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 ...

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 ...

A pair of machine learning algorithms developed by Huma researchers were validated in a 2021 study. In it, the researchers described how they’d first trained the algorithms to predict heart ...

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

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.