Why the study?
Can a deep-learning approach applied to serial electrocardiography detect newly emerging or aggravating cardiac pathology?
Can a deep-learning approach applied to serial electrocardiography detect newly emerging or aggravating cardiac pathology?
A deep-learning approach using neural networks was successfully applied to detect pathologic changes in serial ECGs.
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Supports DL feasibility for serial ECG pathology detection; leaves open prospective validation before clinical adoption.
Sbrollini et al. (2019) studied this question.
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