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 ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Add Yahoo as a preferred source to see more of our stories on Google. An illustrated photo composite of the Sonorus device and its software running on a laptop. - Zooey Liao / Masahble / Getty Images ...

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 ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools. Heart failure is one of the most serious and ...

At just 14 years old, Siddharth Nandyala is already changing the face of modern medicine. A native of Anantapur in Andhra Pradesh in India, living in Frisco, Texas, this young genius is causing global ...

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 ...

New evidence suggests AI-assisted auscultation may help clinicians detect hidden valvular heart disease earlier, potentially reshaping frontline cardiac screening while raising important questions ...

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...