Does an artificial intelligence-enabled ECG algorithm improve the identification of left ventricular systolic dysfunction compared to NT-proBNP in patients presenting to the emergency department with dyspnea?
An AI-enabled ECG algorithm outperforms NT-proBNP in identifying left ventricular systolic dysfunction among patients presenting to the ED with dyspnea.
The ECG is an inexpensive, ubiquitous, painless test which can be quickly obtained in the ED. It effectively identifies LVSD in selected patients presenting to the ED with dyspnea when analyzed with artificial intelligence and outperforms NT-proBNP. Graphic Abstract: A graphic abstract is available for this article.
Adedinsewo et al. (Sat,) studied this question.