A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

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 ...

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 ...

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, ...

Smartwatches have evolved far beyond their original function of timekeeping and fitness tracking. Today, they are becoming instrumental tools in monitoring our health and detecting early signs of ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

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 ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

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 ...