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Routine Echocardiography and Artificial Intelligence Solutions

Introduction: Echocardiography is widely used because of its portability, high temporal resolution, absence of radiation, and due to the low-costs. Over the past years, echocardiography has been recommended by the European Society of Cardiology in most cardiac diseases for both diagnostic and progno...

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Autores principales: Schuuring, Mark J., Išgum, Ivana, Cosyns, Bernard, Chamuleau, Steven A. J., Bouma, Berto J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940184/
https://www.ncbi.nlm.nih.gov/pubmed/33708808
http://dx.doi.org/10.3389/fcvm.2021.648877
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author Schuuring, Mark J.
Išgum, Ivana
Cosyns, Bernard
Chamuleau, Steven A. J.
Bouma, Berto J.
author_facet Schuuring, Mark J.
Išgum, Ivana
Cosyns, Bernard
Chamuleau, Steven A. J.
Bouma, Berto J.
author_sort Schuuring, Mark J.
collection PubMed
description Introduction: Echocardiography is widely used because of its portability, high temporal resolution, absence of radiation, and due to the low-costs. Over the past years, echocardiography has been recommended by the European Society of Cardiology in most cardiac diseases for both diagnostic and prognostic purposes. These recommendations have led to an increase in number of performed studies each requiring diligent processing and reviewing. The standard work pattern of image analysis including quantification and reporting has become highly resource intensive and time consuming. Existence of a large number of datasets with digital echocardiography images and recent advent of AI technology have created an environment in which artificial intelligence (AI) solutions can be developed successfully to automate current manual workflow. Methods and Results: We report on published AI solutions for echocardiography analysis on methods' performance, characteristics of the used data and imaged population. Contemporary AI applications are available for automation and advent in the image acquisition, analysis, reporting and education. AI solutions have been developed for both diagnostic and predictive tasks in echocardiography. Left ventricular function assessment and quantification have been most often performed. Performance of automated image view classification, image quality enhancement, cardiac function assessment, disease classification, and cardiac event prediction was overall good but most studies lack external evaluation. Conclusion: Contemporary AI solutions for image acquisition, analysis, reporting and education are developed for relevant tasks with promising performance. In the future major benefit of AI in echocardiography is expected from improvements in automated analysis and interpretation to reduce workload and improve clinical outcome. Some of the challenges have yet to be overcome, however, none of them are insurmountable.
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spelling pubmed-79401842021-03-10 Routine Echocardiography and Artificial Intelligence Solutions Schuuring, Mark J. Išgum, Ivana Cosyns, Bernard Chamuleau, Steven A. J. Bouma, Berto J. Front Cardiovasc Med Cardiovascular Medicine Introduction: Echocardiography is widely used because of its portability, high temporal resolution, absence of radiation, and due to the low-costs. Over the past years, echocardiography has been recommended by the European Society of Cardiology in most cardiac diseases for both diagnostic and prognostic purposes. These recommendations have led to an increase in number of performed studies each requiring diligent processing and reviewing. The standard work pattern of image analysis including quantification and reporting has become highly resource intensive and time consuming. Existence of a large number of datasets with digital echocardiography images and recent advent of AI technology have created an environment in which artificial intelligence (AI) solutions can be developed successfully to automate current manual workflow. Methods and Results: We report on published AI solutions for echocardiography analysis on methods' performance, characteristics of the used data and imaged population. Contemporary AI applications are available for automation and advent in the image acquisition, analysis, reporting and education. AI solutions have been developed for both diagnostic and predictive tasks in echocardiography. Left ventricular function assessment and quantification have been most often performed. Performance of automated image view classification, image quality enhancement, cardiac function assessment, disease classification, and cardiac event prediction was overall good but most studies lack external evaluation. Conclusion: Contemporary AI solutions for image acquisition, analysis, reporting and education are developed for relevant tasks with promising performance. In the future major benefit of AI in echocardiography is expected from improvements in automated analysis and interpretation to reduce workload and improve clinical outcome. Some of the challenges have yet to be overcome, however, none of them are insurmountable. Frontiers Media S.A. 2021-02-23 /pmc/articles/PMC7940184/ /pubmed/33708808 http://dx.doi.org/10.3389/fcvm.2021.648877 Text en Copyright © 2021 Schuuring, Išgum, Cosyns, Chamuleau and Bouma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Schuuring, Mark J.
Išgum, Ivana
Cosyns, Bernard
Chamuleau, Steven A. J.
Bouma, Berto J.
Routine Echocardiography and Artificial Intelligence Solutions
title Routine Echocardiography and Artificial Intelligence Solutions
title_full Routine Echocardiography and Artificial Intelligence Solutions
title_fullStr Routine Echocardiography and Artificial Intelligence Solutions
title_full_unstemmed Routine Echocardiography and Artificial Intelligence Solutions
title_short Routine Echocardiography and Artificial Intelligence Solutions
title_sort routine echocardiography and artificial intelligence solutions
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940184/
https://www.ncbi.nlm.nih.gov/pubmed/33708808
http://dx.doi.org/10.3389/fcvm.2021.648877
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