Measuring Heart Fat with AI Improves Cardiovascular Risk Prediction
Researchers found coronary fat volume independently predicts cardiovascular events and improves risk accuracy by combining it with existing methods, benefiting nearly 12,000 adults studied over 16 years.
4 Articles
4 Articles
Measuring heart fat with AI improves cardiovascular risk prediction
Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial intelligence (AI).
Including AI-derived heart fat measurement improves accuracy of cardiovascular disease risk prediction
Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial intelligence (AI). Heart disease develops over time and remains the leading cause of death worldwide, so identifying risk early is critical to preventing heart attack, stroke, and other serious outcomes.
AI-Derived Heart Fat Measurement Enhances Precision in Predicting
In a groundbreaking advancement that could redefine cardiovascular risk assessment, researchers at Mayo Clinic have harnessed the power of artificial intelligence (AI) to markedly enhance the predictive accuracy of coronary artery scans. This innovative approach capitalizes on existing clinical imaging technology to provide a deeper understanding of heart disease risk, an area that remains a […]
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