Tag: <span>Cardiovascular Risk Assessment</span>

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Revolutionizing cardiovascular risk assessment with AI

University of Pennsylvania School of Engineering and Applied Science A recent position paper in the Asia-Pacific Journal of Ophthalmology explores the transformative potential of artificial intelligence (AI) in ophthalmology. Led by Lama Al-Aswad, Professor of Ophthalmology and Irene Heinz Given and John La Porte Given Research Professor of Ophthalmology II, of the Scheie Eye Institute, the work represents a...

Researchers Use Machine Learning to Improve Cardiovascular Risk Assessment
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Researchers Use Machine Learning to Improve Cardiovascular Risk Assessment

A transparent AI approach recalibrated the new PREVENT equations to provide a more tailored cardiovascular risk assessment in a local population Image credit: Clker-Free-Vector-Images from Pixabay Risk calculators are used to evaluate disease risk for millions of patients, making their accuracy crucial. But when national models are adapted for local populations, they often deteriorate, losing...