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 ...

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

Peter Kokol, Jan Jurman, Tajda Bogovič, Tadej Završnik, Jernej Završnik, Helena Blažun Vošner, Supporting Real World Decision Making in Coronary Diseases Using Machine Learning, Inquiry, Vol. 58 ...

Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study. Sci Rep , 13, 14920. doi: 10.1038/s41598-023-42142-w .

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.

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 ...