Why the study?
Does a deep learning electrocardiogram algorithm accurately detect left ventricular systolic dysfunction in routine practice?
Does a deep learning electrocardiogram algorithm accurately detect left ventricular systolic dysfunction in routine practice?
A deep learning ECG algorithm demonstrates good accuracy for detecting depressed left ventricular function in routine clinical practice.
May support ECG screening for LV dysfunction in practice; hypothesis-generating pending prospective validation.
A deep learning algorithm detected depressed LV function with good accuracy in routine practice. Further studies are needed to validate the algorithm in patients with no prior echocardiogram and to assess the impact on echocardiography utilization, cost, and clinical outcomes.
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Attia et al. (2019) studied this question.
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