Self-supervised deep representation learning of a foundation transformer model enabling efficient ECG-based assessment of cardiac and coronary function with limited labels.

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

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Who cites it

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Corrections and comments

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  A foundation transformer model with self-supervised learning for ECG-based assessment of cardiac and coronary function.2025

Authors and funding

9 authors.

Funding

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Abstract

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