Article

Automated Phenotyping of Mitral Stenosis Using Deep Learning

2026-03-04

Abstract excerpt

<h4>Background and Aims</h4> Accurate classification of mitral stenosis (MS) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) framework to automatically detect clinically significant MS from echocardiography. <h4>Methods</h4> We developed EchoNet-MS, an open-source end-to-end integrated approach combining video based convolutional neural networks to assess MS...

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Literature Corpus work: e4aff2bb-9a9e-5caa-87c4-7398ca9be371
DOI: 10.64898/2026.03.03.26347557

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