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.
Sangha et al. (Tue,) studied this question.