Peer-Reviewed Publication
Circ Cardiovasc Imaging2023;16(11):e015569.November 1, 2023Multicenter Study
Real-Time Artificial Intelligence-Based Guidance of Echocardiographic Imaging by Novices: Image Quality and Suitability for Diagnostic Interpretation and Quantitative Analysis.
Victor Mor-Avi1, Bijoy Khandheria2, Robert Klempfner3, Juan I Cotella1, Merav Moreno3, Denise Ignatowski2, Brittney Guile1, Hailee J Hayes2, Kyle Hipke1, Abigail Kaminski2, Dan Spiegelstein4, Noa Avisar4, Itay Kezurer4, Asaf Mazursky5, Ran Handel6, Yotam Peleg6, Shir Avraham5, Achiau Ludomirsky7, Roberto M Lang1
1University of Chicago Medical Center, IL (V.M.-A., J.I.C., B.G., K.H., R.M.L.).
2Cardiovascular Research, Advocate Aurora Research, Milwaukee, WI (B.K., D.I., H.J.H., A.K.).
3Department of Cardiology, Cardiac Rehabilitation Institute, Sheba Medical Center, Israel (R.K., M.M.).
4UltraSight, Ltd, Rehovot, Israel (D.S., N.A., I.K.).
5Faculty of Medicine, Ben-Gurion University of the Negev, Beer-Sheva, Israel (A.M., S.A.).
6Azrieli Faculty of Medicine in the Galilee Bar-Ilan University, Safed, Israel (R.H., Y.P.).
7NYU Langone Health, New York (A.L.).
Abstract
BACKGROUND: We aimed to assess in a prospective multicenter study the quality of echocardiographic exams performed by inexperienced users guided by a new artificial intelligence software and evaluate their suitability for diagnostic interpretation of basic cardiac pathology and quantitative analysis of cardiac chamber and function.
METHODS: The software (UltraSight, Ltd) was embedded into a handh…
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