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Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy from 12-Lead Electrocardiograms

BACKGROUND: Classical methods for detecting left ventricular hypertrophy (LVH) using 12-lead electrocardiograms (ECGs) are insensitive. Deep learning models using ECG to infer cardiac magnetic resonance (CMR)-derived LV mass may improve LVH detection. METHODS AND RESULTS: Within 32,239 individuals o...

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Publicado en:Circ Cardiovasc Imaging
Autores principales: Khurshid, Shaan, Friedman, Samuel, Pirruccello, James P., Achille, Paolo Di, Diamant, Nathaniel, Anderson, Christopher D., Ellinor, Patrick T., Batra, Puneet, Ho, Jennifer E., Philippakis, Anthony A., Lubitz, Steven A.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2021
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8217289/
https://ncbi.nlm.nih.gov/pubmed/34126762
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCIMAGING.120.012281
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