Artificial Intelligence-Powered Measurement of Left Ventricular Ejection Fraction Using a Handheld Ultrasound Device

Author:

Filipiak-Strzecka Dominika,Kasprzak Jarosław D.,Wejner-Mik Paulina,Szymczyk Ewa,Wdowiak-Okrojek Katarzyna,Lipiec Piotr

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology, Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference32 articles.

1. Bienstock S, Lai AC, Samtani R, Croft L, Liao S, Stern E, Goldman M. A fully automated echocardiography software can accurately quantify left ventricular ejection fraction in patients with segmental wall motion abnormalities from a single plane. Available at: www.dia-analysis.com. Accessed October 27, 2020.

2. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure;Bristow;N Engl J Med,2004

3. A novel two-dimensional echocardiographic image analysis system using artificial intelligence-learned pattern recognition for rapid automated ejection fraction;Cannesson;J Am Coll Cardiol,2007

4. The use of handheld ultrasound devices: A position statement of the European Association of Cardiovascular Imaging (2018 update);Cardim;Eur Heart J Cardiovasc Imaging,2019

5. Pocket-sized point-of-care cardiac ultrasound devices: Role in the emergency department;Colclough;Herz,2017

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