Literature DB >> 33276079

Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change?

Roberto M Lang1, Karima Addetia1, Tatsuya Miyoshi2, Kalie Kebed1, Alexandra Blitz3, Marcus Schreckenberg3, Niklas Hitschrich3, Victor Mor-Avi1, Federico M Asch2.   

Abstract

Entities:  

Year:  2020        PMID： 33276079      PMCID： PMC8026622          DOI： 10.1016/j.echo.2020.11.017

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN： 0894-7317            Impact factor:   5.251


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  8 in total

1.  Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.

Authors:  Roberto M Lang; Luigi P Badano; Victor Mor-Avi; Jonathan Afilalo; Anderson Armstrong; Laura Ernande; Frank A Flachskampf; Elyse Foster; Steven A Goldstein; Tatiana Kuznetsova; Patrizio Lancellotti; Denisa Muraru; Michael H Picard; Ernst R Rietzschel; Lawrence Rudski; Kirk T Spencer; Wendy Tsang; Jens-Uwe Voigt
Journal:  J Am Soc Echocardiogr       Date:  2015-01       Impact factor: 5.251

2.  Need for a Global Definition of Normative Echo Values-Rationale and Design of the World Alliance of Societies of Echocardiography Normal Values Study (WASE).

Authors:  Federico M Asch; Jose Banchs; Rhonda Price; Vera Rigolin; James D Thomas; Neil J Weissman; Roberto M Lang
Journal:  J Am Soc Echocardiogr       Date:  2018-11-17       Impact factor: 5.251

3.  Contrast echocardiography improves the accuracy and reproducibility of left ventricular remodeling measurements: a prospective, randomly assigned, blinded study.

Authors:  H L Thomson; A J Basmadjian; A J Rainbird; M Razavi; J F Avierinos; P A Pellikka; K R Bailey; J F Breen; M Enriquez-Sarano
Journal:  J Am Coll Cardiol       Date:  2001-09       Impact factor: 24.094

4.  The ventricular volume variability study of the Pediatric Heart Network: study design and impact of beat averaging and variable type on the reproducibility of echocardiographic measurements in children with chronic dilated cardiomyopathy.

Authors:  Steven D Colan; Girish Shirali; Renee Margossian; Dianne Gallagher; Karen Altmann; Charles Canter; Shan Chen; Fraser Golding; Elizabeth Radojewski; Michael Camitta; Michael Carboni; Jack Rychik; Mario Stylianou; Lloyd Y Tani; Elif Seda Selamet Tierney; Yanli Wang; Lynn A Sleeper
Journal:  J Am Soc Echocardiogr       Date:  2012-06-05       Impact factor: 5.251

5.  Accuracy and reproducibility of biplane two-dimensional echocardiographic measurements of left ventricular dimensions and function.

Authors:  J E Otterstad; G Froeland; M St John Sutton; I Holme
Journal:  Eur Heart J       Date:  1997-03       Impact factor: 29.983

6.  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

7.  Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography.

Authors:  James P Howard; Jeremy Tan; Matthew J Shun-Shin; Dina Mahdi; Alexandra N Nowbar; Ahran D Arnold; Yousif Ahmad; Peter McCartney; Massoud Zolgharni; Nick W F Linton; Nilesh Sutaria; Bushra Rana; Jamil Mayet; Daniel Rueckert; Graham D Cole; Darrel P Francis
Journal:  J Med Artif Intell       Date:  2020-03-25

8.  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
  8 in total
  3 in total

1.  Machine Learning-Enabled Fully Automated Assessment of Left Ventricular Volume, Ejection Fraction and Strain: Experience in Pediatric and Young Adult Echocardiography.

Authors:  Ling Li; Paul Homer; Mary Craft; Shelby Kutty; Adam Putschoegl; Amanda Marshall; David Danford; Anji Yetman
Journal:  Pediatr Cardiol       Date:  2022-10-08       Impact factor: 1.838

2.  Human versus Artificial Intelligence-Based Echocardiographic Analysis as a Predictor of Outcomes: An Analysis from the World Alliance Societies of Echocardiography COVID Study.

Authors:  Federico M Asch; Tine Descamps; Rizwan Sarwar; Ilya Karagodin; Cristiane Carvalho Singulane; Mingxing Xie; Edwin S Tucay; Ana C Tude Rodrigues; Zuilma Y Vasquez-Ortiz; Mark J Monaghan; Bayardo A Ordonez Salazar; Laurie Soulat-Dufour; Azin Alizadehasl; Atoosa Mostafavi; Antonella Moreo; Rodolfo Citro; Akhil Narang; Chun Wu; Karima Addetia; Ross Upton; Gary M Woodward; Roberto M Lang
Journal:  J Am Soc Echocardiogr       Date:  2022-07-19       Impact factor: 7.722

Review 3.  Artificial intelligence for the echocardiographic assessment of valvular heart disease.

Authors:  Rashmi Nedadur; Bo Wang; Wendy Tsang
Journal:  Heart       Date:  2022-09-26       Impact factor: 7.365
  3 in total

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