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Dissecting heart age using cardiac magnetic resonance videos, electrocardiograms, biobanks, and deep learning

2021-06-16

Abstract excerpt

Heart disease is the first cause of death after age 65 and, with the world population aging, its prevalence is expected to starkly increase. We used deep learning to build a heart age predictor on 45,000 heart magnetic resonance videos [MRI] and electrocardiograms [ECG] from the UK Biobank cohort (age range 45-81 years). We predicted age with a root mean squared error [RMSE] of 2.81±0.02 years (R-Squared=85.6±0.2%...

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Literature Corpus work
c787c142-ffe5-5b25-bdf6-ceeafe6d0eae
DOI
10.1101/2021.06.09.21258645
Open publication

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Dissecting heart age using cardiac magnetic resonance videos, electrocardiograms, biobanks, and deep learningDOI 10.1101/2021.06.09.21258645
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