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 ...
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 ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic and risk assessments is ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
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 ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Study Examines Prediction of Surgical Riskin Growing Population of Adults with Congenital Heart DiseaseNEW ORLEANS — January 31, 2026 — Heart ...
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 ...
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