Electrocardiogram screening for aortic valve stenosis using artificial intelligence
Abstract
Aims Early detection of aortic stenosis (AS) is becoming increasingly important with a better outcome after aortic valve replacement in asymptomatic severe AS patients and a poor outcome in moderate AS. We aimed to develop artificial intelligence-enabled electrocardiogram (AI-ECG) using a convolutional neural network to identify patients with moderate to severe AS. Methods and results Between 1989 and 2019, 258 607 adults [mean age 63 ± 16.3...
Paper Details
Title
Electrocardiogram screening for aortic valve stenosis using artificial intelligence
Published Date
Mar 22, 2021
Journal
Volume
42
Issue
30
Pages
2885 - 2896
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Notes
History