Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
News-Medical.Net on MSN
Physical function metrics improve mortality prediction in elderly heart failure patients
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 ...
Many people have no idea what their risk is—until it's too late.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
SENSE, a nationwide artificial intelligence (AI) initiative to interpret cardiac imaging scans in minutes, aiding early detection and prediction of coronary artery disease SENSE, a nationwide ...
A research team from Juntendo University in Japan wanted to find a better way to predict survival for older people with heart failure. The project was led by Professor Tetsuya Takahashi, Assistant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results