Why the study?
Does a machine learning algorithm for volume-independent LVEF estimation provide similar accuracy to conventional volume-based measurements?
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.
May support automated volume-independent LVEF estimation in practice; hypothesis-generating and requires prospective validation.
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.
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Asch et al. (2019) studied this question.
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