The 12-lead electrocardiogram as a biomarker of biological age
Abstract
We have demonstrated that a neural network is able to predict a person's age from the electrocardiogram (ECG) [artificial intelligence (AI) ECG age]. However, some discrepancies were observed between ECG-derived and chronological ages. We assessed whether the difference between AI ECG and chronological age (Age-Gap) represents biological ageing and predicts long-term outcomes.We previously developed a convolutional neural network to predict...
Paper Details
Title
The 12-lead electrocardiogram as a biomarker of biological age
Published Date
Apr 23, 2021
Journal
Volume
2
Issue
3
Pages
379 - 389
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