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 ...
Machine-learning physiologic signal model achieved 90% sensitivity and 99% negative predictive value for ischemia detection in symptomatic patients The model showed strong sensitivity in both ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
In the United States an estimated 48% of adults or 121.5 million people, have some form of cardiovascular disease according to the American Heart Association. Cardiovascular diseases which include ...
CorVista Health today announced the upcoming poster presentation of new data on its non-invasive point of care test for ischemia with non-obstructive coronary arteries (INOCA) -- a common condition, ...
Share on Pinterest Findings from two studies suggest that AI-assisted stethoscopes can detect valvular heart disease much earlier than traditional stethoscopes. Image credit: runner of art/Getty ...
Forbes contributors publish independent expert analyses and insights. William A. Haseltine, Ph.D., covers genomics and regenerative medicine AI-powered retinal imaging closes healthcare gaps, enables ...