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Background Left ventricular (LV) volumetric quantification by transthoracic echocardiography (TTE) remains a time-consuming, labor-intensive and ultimately subjective task. Ultrasound Enhancing Agents (UEAs) can improve the quantification but are expensive and require IV administration. Previously, we demonstrated that in select high quality studies, LV ejection fraction (LVEF) determined from a single plane non-UEA apical 4-chamber by an artificial intelligence (AI) software, LVivoEF by DIA®, correlated with cardiac magnetic resonance imaging (c-MR) and was more accurate than physicianderived LVEF from UEA images. Here, using consecutive non-selected patients (pts), we assess the accuracy of AI-derived non-UEA LV volumes compared to physician-derived UEA LV volumes (MD-Vol) with c-MR as the gold standard.

journal of scientific innovation in medicine

A Novel Artificial Intelligence Echocardiography Software Achieves Equivalence to Physician-Read Images with Ultrasound Enhancing Agents in Left Ventricular Volume Determination