2024
DOI: 10.1093/ehjdh/ztae085
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Use of artificial intelligence to predict outcomes in mild aortic valve stenosis

Raghav R Julakanti,
Ratnasari Padang,
Christopher G Scott
et al.

Abstract: Background and Aims Aortic stenosis (AS) is a common and progressive disease which, if left untreated, results in increased morbidity and mortality. Monitoring and follow-up care can be challenging due to significant variability in disease progression. This study aimed to develop machine learning models to predict the risks of disease progression and mortality in patients with mild aortic stenosis. Methods A comprehensive dat… Show more

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