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Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs

Khurshid, Shaan, Samuel Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson, Patrick T. Ellinor, et al. 2021. “Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs”. Circulation: Cardiovascular Imaging 14 (6).
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Abstract

Background: Classical methods for detecting left ventricular (LV) hypertrophy (LVH) using 12-lead ECGs are insensitive. Deep learning models using ECG to infer cardiac magnetic resonance (CMR)-derived LV mass may improve LVH detection. Methods:
Last updated on 04/01/2022