Why the study?
Does a deep learning model accurately identify left ventricular systolic dysfunction from ECG images?
Does a deep learning model accurately identify left ventricular systolic dysfunction from ECG images?
A deep learning model can detect left ventricular systolic dysfunction from standard ECG images, offering an automated and accessible screening tool for low-resource settings.
We developed and externally validated a deep learning model that identifies LV systolic dysfunction from ECG images. This approach represents an automated and accessible screening strategy for LV systolic dysfunction, particularly in low-resource settings.
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Sangha et al. (2023) studied this question.
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