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

To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic resonance images (MRIs) to map its structure. Because the two ...

A new machine learning/artificial intelligence score provided an accurate forecast of the likelihood of patients with suspected or known coronary artery disease within 10 years.

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 ...

“Our study supports the use of artificial intelligence methods for integrating multimodality imaging and clinical data for robust prediction of heart attacks,” he explains. “Our current efforts focus ...

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.

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 ...

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 ...