Does a machine learning algorithm for volume-independent LVEF estimation provide similar accuracy to conventional volume-based measurements?
An automated machine learning algorithm can accurately and feasibly estimate left ventricular ejection fraction without relying on traditional volume measurements.
Machine learning algorithm for volume-independent LVEF estimation is highly feasible and similar in accuracy to conventional volume-based measurements, when compared with reference values provided by an expert panel.
Asch et al. (2019) studied this question.