$Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction$

Medicine and Health

Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction

P. Motazedian, J. A. Marbach, et al.

This exciting study by Pouya Motazedian and team unveils the remarkable accuracy of AI-assisted point-of-care ultrasound (FoCUS) in evaluating left ventricular ejection fraction (LVEF). With outstanding correlation to transthoracic echocardiography, this research highlights the potential of FoCUS in clinical settings, making it a game-changer in cardiac assessment.

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Abstract

This prospective, multicenter study evaluated the accuracy of AI-assisted point-of-care ultrasound (FoCUS) in assessing left ventricular ejection fraction (LVEF). 424 participants underwent FoCUS by novice and experienced users, with LVEF compared to transthoracic echocardiography (TTE). Excellent overall intraclass correlation (0.904) was observed, with high agreement between FoCUS and TTE in categorizing LVEF severity. The AI-assisted FoCUS showed high accuracy in detecting abnormal and severely reduced LVEF, demonstrating its potential for use in diverse clinical settings.

Publisher

npj Digital Medicine

Published On

Jul 26, 2023

Authors

Pouya Motazedian, Jeffrey A. Marbach, Graeme Prosperi-Porta, Simon Parlow, Pietro Di Santo, Omar Abdel-Razek, Richard Jung, William B. Bradford, Miranda Tsang, Michael Hyno, Stefano Pacifici, Sharanya Mohanty, F. Daniel Ramirez, Gordon S. Huggins, Trevor Simard, Stephanie Hon, Benjamin Hibbert

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