Why the study?
Despite the promising development of deep learning algorithms for automatic ECG analysis, their integration and deployment into routine clinical practice remains limited.
Design
Narrative review
Authors
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May enhance ECG phenotyping efficiency; leaves open need for prospective validation before routine use.
While deep learning shows significant potential to automate and enhance ECG interpretation, widespread clinical adoption requires overcoming substantial regulatory and transparency hurdles.
Schots et al. (2025) studied this question.
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