Machine Learning to Optimize the Echocardiographic Follow-Up of Aortic Stenosis.

Antonio Sánchez-Puente,P Ignacio Dorado-Díaz,Jesús Sampedro-Gómez,Javier Bermejo,Pablo Martinez-Legazpi,Francisco Fernández-Avilés,Javier Sánchez-González,Candelas Pérez Del Villar,Víctor Vicente-Palacios,Pedro L Sanchez

JACC. Cardiovascular imaging（2023）

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摘要

Machine learning provides real-time, automated, personalized timing of next echocardiographic follow-up examination for patients with mild-to-moderate aortic stenosis. Compared with European and American guidelines, the model reduces the number of patient examinations.

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关键词

aortic stenosis,artificial intelligence,echocardiography,follow-up,guidelines,machine learning

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