March 3, 2026Open Access

Deep learning to predict left ventricular hypertrophy from the electrocardiogram

Key Points

Left ventricular hypertrophy can be predicted using deep learning techniques from electrocardiograms, enhancing diagnostic capabilities.
The model's prediction accuracy emphasizes the role of deep learning in cardiology, providing a modern approach to traditional diagnostics.

Structured PICO

Can deep learning models accurately predict left ventricular hypertrophy from the electrocardiogram?

Intervention

Deep learning (DL)-based screening tools for the prediction of left ventricular hypertrophy (LVH) from the electrocardiogram (ECG)

Outcome

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.

Abstract

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.

Deep learning to predict left ventricular hypertrophy from the electrocardiogram

Key Points

Structured PICO

Abstract

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