Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

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 ...

The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction. SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system ...

The findings, published June 25 in JAMA Cardiology, showed the PREVENT equations accurately predicted CVD, atherosclerotic CVD (ASCVD) and heart failure events across broad, self-identified Asian and ...

A deep learning algorithm that only uses data from mammogram images along with age may predict major cardiac events as accurately as traditional cardiovascular risk calculators, new data suggest. The ...

SNS Insider research highlights a robust 29.37% CAGR from 2024 to 2032, fueled by breakthroughs in AI-driven drug discovery, genomics, and predictive analytics transforming personalized ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...