[HTML][HTML] Improved assessment of left ventricular ejection fraction using artificial intelligence in echocardiography: A comparative analysis with cardiac magnetic …

KM Sveric, S Ulbrich, Z Dindane, A Winkler… - International Journal of …, 2024 - Elsevier
Background Left ventricular ejection fraction (LVEF) measurement in echocardiography
(Echo) using the recommended modified biplane Simpson (MBS) method is operator …

Validation of American Society of Echocardiography Guideline-recommended parameters of right ventricular dysfunction using artificial intelligence compared with …

BC Hsia, A Lai, S Singh, R Samtani, S Bienstock… - Journal of the American …, 2023 - Elsevier
Background Right ventricular (RV) function is important in the evaluation of cardiac function,
but its assessment using standard transthoracic echocardiography (TTE) remains …

Harnessing the Power of AI: A Comprehensive Review of Left Ventricular Ejection Fraction Assessment With Echocardiography

B Barris, A Karp, M Jacobs, WH Frishman - Cardiology in Review, 2024 - journals.lww.com
The quantification of left ventricular ejection fraction (LVEF) has important clinical utility in
the assessment of cardiac function and is vital for the diagnosis of cardiovascular diseases …

Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point‐of‐Care Echocardiography Assessment of Left Ventricular Ejection Fraction

Z Dadon, A Orlev, A Butnaru… - … Journal of Clinical …, 2023 - Wiley Online Library
Introduction. Point‐of‐care ultrasound (POCUS) use is now universal among nonexperts.
Artificial intelligence (AI) is currently employed by nonexperts in various imaging modalities …

[HTML][HTML] Single-site experience with an automated artificial intelligence application for left ventricular ejection fraction measurement in echocardiography

KM Sveric, R Botan, Z Dindane, A Winkler, T Nowack… - Diagnostics, 2023 - mdpi.com
Left ventricular ejection fraction (LVEF) is a key parameter in evaluating left ventricular (LV)
function using echocardiography (Echo), but its manual measurement by the modified …

[HTML][HTML] Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography …

S Hadjidimitriou, E Pagourelias… - JMIR Research …, 2023 - researchprotocols.org
Background: Echocardiography (ECHO) is a type of ultrasonographic procedure for
examining the cardiac function and morphology, with functional parameters of the left …

Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance

CL Luong, MH Jafari, D Behnami, YR Shah… - Echo Research & …, 2024 - Springer
Background Machine learning (ML) algorithms can accurately estimate left ventricular
ejection fraction (LVEF) from echocardiography, but their performance on cardiac point-of …

Artificial Intelligence-Powered Left Ventricular Ejection Fraction Analysis Using the LVivoEF Tool for COVID-19 Patients

Z Dadon, Y Steinmetz, N Levi, A Orlev… - Journal of Clinical …, 2023 - mdpi.com
We sought to prospectively investigate the accuracy of an artificial intelligence (AI)-based
tool for left ventricular ejection fraction (LVEF) assessment using a hand-held ultrasound …

Can artificial intelligence-derived left ventricular ejection fraction supplant manual measurements of left ventricular ejection fraction in daily practice?

M Takeuchi - International Journal of Cardiology, 2024 - internationaljournalofcardiology.com
Research using artificial intelligence (AI) in cardiology has been growing rapidly, and the
number of publications on this topic is increasing exponentially [1]. Application of AI …

Echocardiographic Image Classification Using Deep Learning

SG Neto, SA Freitas… - Anais do XX Encontro …, 2023 - sol.sbc.org.br
Left ventricular ejection fraction is a physiological measure obtained by evaluating the
cardiac phases of systole or diastole. This parameter represents the contractile capacity of …