Literature DB >> 35481864

Artificial Intelligence in Echocardiography.

Stephanie A Coulter1, Karla Campos1.   

Abstract

Artificial intelligence in diagnostic cardiac-imaging platforms is advancing rapidly. In particular, artificial intelligence algorithms have increased the efficiency and accuracy of echocardiographic cardiovascular imaging, resulting in more complex echocardiographic imaging techniques and expanded use among noncardiologists. Here, we provide an overview of real-world applications of artificial intelligence in echocardiography including automatic high-quality computer-optimized image acquisition sequences, automated measurements, and algorithms for the rapid and accurate interpretation of cardiac physiology. These advances will not replace physicians but will improve their productivity, workflow, and diagnostic performance.
© 2022 by the Texas Heart® Institute, Houston.

Entities:  

Keywords:  Algorithms; artificial intelligence; cardiac imaging techniques/methods; deep learning; diagnosis, computer-assisted; echocardiography; image interpretation, computer-assisted; imaging, three-dimensional; investigative techniques

Mesh:

Year:  2022        PMID: 35481864      PMCID: PMC9053659          DOI: 10.14503/THIJ-21-7671

Source DB:  PubMed          Journal:  Tex Heart Inst J        ISSN: 0730-2347


  18 in total

1.  Machine learning based automated dynamic quantification of left heart chamber volumes.

Authors:  Akhil Narang; Victor Mor-Avi; Aldo Prado; Valentina Volpato; David Prater; Gloria Tamborini; Laura Fusini; Mauro Pepi; Neha Goyal; Karima Addetia; Alexandra Gonçalves; Amit R Patel; Roberto M Lang
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-05-01       Impact factor: 6.875

2.  Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos.

Authors:  Hanie Moghaddasi; Saeed Nourian
Journal:  Comput Biol Med       Date:  2016-04-02       Impact factor: 4.589

3.  Artificial Intelligence for the Measurement of the Aortic Valve Annulus.

Authors:  Richard Thalappillil; Pranav Datta; Saurabh Datta; Yong Zhan; Sophie Wells; Feroze Mahmood; Frederick C Cobey
Journal:  J Cardiothorac Vasc Anesth       Date:  2019-06-17       Impact factor: 2.628

4.  The Supply and Demand of the Cardiovascular Workforce: Striking the Right Balance.

Authors:  Akhil Narang; Shashank S Sinha; Bharath Rajagopalan; Nkechinyere N Ijioma; Natalie Jayaram; Aaron P Kithcart; Varsha K Tanguturi; Michael W Cullen
Journal:  J Am Coll Cardiol       Date:  2016-10-11       Impact factor: 24.094

5.  Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert.

Authors:  Federico M Asch; Nicolas Poilvert; Theodore Abraham; Madeline Jankowski; Jayne Cleve; Michael Adams; Nathanael Romano; Ha Hong; Victor Mor-Avi; Randolph P Martin; Roberto M Lang
Journal:  Circ Cardiovasc Imaging       Date:  2019-09-16       Impact factor: 7.792

Review 6.  The practical implementation of artificial intelligence technologies in medicine.

Authors:  Jianxing He; Sally L Baxter; Jie Xu; Jiming Xu; Xingtao Zhou; Kang Zhang
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

7.  Impact of image quality on reliability of the measurements of left ventricular systolic function and global longitudinal strain in 2D echocardiography.

Authors:  Yasufumi Nagata; Yuichiro Kado; Takeshi Onoue; Kyoko Otani; Akemi Nakazono; Yutaka Otsuji; Masaaki Takeuchi
Journal:  Echo Res Pract       Date:  2018-02-05

8.  Fast and accurate view classification of echocardiograms using deep learning.

Authors:  Ali Madani; Ramy Arnaout; Mohammad Mofrad; Rima Arnaout
Journal:  NPJ Digit Med       Date:  2018-03-21

9.  Fully Automated Echocardiogram Interpretation in Clinical Practice.

Authors:  Jeffrey Zhang; Sravani Gajjala; Pulkit Agrawal; Geoffrey H Tison; Laura A Hallock; Lauren Beussink-Nelson; Mats H Lassen; Eugene Fan; Mandar A Aras; ChaRandle Jordan; Kirsten E Fleischmann; Michelle Melisko; Atif Qasim; Sanjiv J Shah; Ruzena Bajcsy; Rahul C Deo
Journal:  Circulation       Date:  2018-10-16       Impact factor: 29.690

Review 10.  Artificial intelligence and cardiovascular imaging: A win-win combination.

Authors:  Luigi P Badano; Daria M Keller; Denisa Muraru; Camilla Torlasco; Gianfranco Parati
Journal:  Anatol J Cardiol       Date:  2020-10       Impact factor: 1.596

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