Peer-Reviewed Publication
Eur Heart J Digit Health2026;7(4):ztag065.May 1, 2026Journal Article
Artificial intelligence in breaking the learning curve for echocardiography: a secondary analysis of a multicentre trial.
Caroline Schissel1, Daniel Trotzky2,3, Noa Avisar4, Talia Amar4, Itay Kezurer4, Dan Spiegelstein4, Christopher W Baugh5, Nicole M Duggan5, Sachin Shah6, Sarju Ganatra6, Sourbha Dani6, Andrew Goldsmith1
1Department of Emergency Medicine, Lahey Hospital and Medical Center, 41 Mall Rd, Burlington, MA 01805,USA.
2Medical Management, Tel Aviv Sourasky Medical Center, Weizmann St 6, Tel Aviv 64239, Israel.
3Department of Epidemiology and Preventive Medicine, School of Public Health, Gray Faculty of Medical & Health Sciences, Tel Aviv University, PO Box 39040, Ramat Aviv, Tel Aviv 6997801, Israel.
4UltraSight, Ltd, 1 Hamada St., Science Park, Rehovot 7670301, Israel.
5Department of Emergency Medicine, Brigham and Women's Hospital, 75 Francis St.Boston, MA 02115, USA.
6Department of Cardiology, Lahey Hospital and Medical Center, 41 Mall Rd., Burlington, MA 01805, USA.
Abstract
AIMS: The integration of point-of-care ultrasound (POCUS) by non-specialists and the shortage of trained sonographers highlights the need for scalable training approaches. This study aimed to evaluate the learning curve of novice operators performing artificial intelligence (AI)-guided limited transthoracic echocardiography (TTE) and to assess whether acquired images were sufficient for diagnostic…
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