Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification

In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging.

Detalles Bibliográficos
Autores principales: Lin, Andrew, Pieszko, Konrad, Park, Caroline, Ignor, Katarzyna, Williams, Michelle C, Slomka, Piotr, Dey, Damini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311632/
https://www.ncbi.nlm.nih.gov/pubmed/37396483
http://dx.doi.org/10.1259/bjro.20220021
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author Lin, Andrew
Pieszko, Konrad
Park, Caroline
Ignor, Katarzyna
Williams, Michelle C
Slomka, Piotr
Dey, Damini
author_facet Lin, Andrew
Pieszko, Konrad
Park, Caroline
Ignor, Katarzyna
Williams, Michelle C
Slomka, Piotr
Dey, Damini
author_sort Lin, Andrew
collection PubMed
description In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging.
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spelling pubmed-103116322023-07-01 Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification Lin, Andrew Pieszko, Konrad Park, Caroline Ignor, Katarzyna Williams, Michelle C Slomka, Piotr Dey, Damini BJR Open Review Article In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging. The British Institute of Radiology. 2023-05-17 /pmc/articles/PMC10311632/ /pubmed/37396483 http://dx.doi.org/10.1259/bjro.20220021 Text en © 2023 The Authors. Published by the British Institute of Radiology https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review Article
Lin, Andrew
Pieszko, Konrad
Park, Caroline
Ignor, Katarzyna
Williams, Michelle C
Slomka, Piotr
Dey, Damini
Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title_full Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title_fullStr Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title_full_unstemmed Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title_short Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
title_sort artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311632/
https://www.ncbi.nlm.nih.gov/pubmed/37396483
http://dx.doi.org/10.1259/bjro.20220021
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