The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review

In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data e...

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Detalles Bibliográficos
Autores principales: Seetharam, Karthik, Brito, Daniel, Farjo, Peter D., Sengupta, Partho P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786371/
https://www.ncbi.nlm.nih.gov/pubmed/33426010
http://dx.doi.org/10.3389/fcvm.2020.618849
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author Seetharam, Karthik
Brito, Daniel
Farjo, Peter D.
Sengupta, Partho P.
author_facet Seetharam, Karthik
Brito, Daniel
Farjo, Peter D.
Sengupta, Partho P.
author_sort Seetharam, Karthik
collection PubMed
description In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging.
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spelling pubmed-77863712021-01-07 The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review Seetharam, Karthik Brito, Daniel Farjo, Peter D. Sengupta, Partho P. Front Cardiovasc Med Cardiovascular Medicine In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging. Frontiers Media S.A. 2020-12-23 /pmc/articles/PMC7786371/ /pubmed/33426010 http://dx.doi.org/10.3389/fcvm.2020.618849 Text en Copyright © 2020 Seetharam, Brito, Farjo and Sengupta. 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
Seetharam, Karthik
Brito, Daniel
Farjo, Peter D.
Sengupta, Partho P.
The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title_full The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title_fullStr The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title_full_unstemmed The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title_short The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review
title_sort role of artificial intelligence in cardiovascular imaging: state of the art review
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786371/
https://www.ncbi.nlm.nih.gov/pubmed/33426010
http://dx.doi.org/10.3389/fcvm.2020.618849
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