Can deep learning models accurately predict left ventricular hypertrophy from the electrocardiogram?
Deep learning (DL)-based screening tools for the prediction of left ventricular hypertrophy (LVH) from the electrocardiogram (ECG)
Prediction of left ventricular hypertrophysurrogate
Deep learning models show feasibility as scalable screening tools for predicting left ventricular hypertrophy from electrocardiograms, though larger and more diverse datasets are needed for generalizability.
Our findings support the feasibility of scalable DL-based screening tools for the prediction of LVH from the ECG, whilst highlighting the need for model development using larger datasets with greater diversity to ensure generalizability.
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Naderi et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75b46c6e9836116a2258a — DOI: https://doi.org/10.1093/europace/euag015
Hafiz Naderi
Thomas Kaplan
William Harvey Research Institute
Stefan van Duijvenboden
EP Europace
Mayo Clinic
Universitat de Barcelona
Mayo Clinic in Arizona
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