Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.Image Credit: Summit Art Creations/Shutterstock.com. Background. Heart disease is a ...

This study examined the accuracy of machine learning using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and ...

Hybrid imaging: A 70-year-old patient presented with diffused largely non-calcified disease (centre panel in red) in the left anterior descending (LAD) artery and demonstrated increased 18 F-NaF ...

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 study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.

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 ...

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...

Now, scientists have used machine learning to build new and improved models, which could especially improve risk prediction for women. They also found that for certain heart conditions, women are ...