Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

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. The future of heart ...

Bangladeshi researcher Md Masum Billah is advancing the application of artificial intelligence in healthcare and digital security, focusing on practical solutions for real-world challenges, said a ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

The future of heart disease detection and prevention may have started with an opera singer. When Dr. Joshua Hutcheson heard about how his wife — then a grad student — was studying how subtle changes ...