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Artificial Intelligence in Cardiovascular CT and MR Imaging
The technological development of Artificial Intelligence (AI) has grown rapidly in recent years. The applications of AI to cardiovascular imaging are various and could improve the radiologists’ workflow, speeding up acquisition and post-processing time, increasing image quality and diagnostic accura...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968221/ https://www.ncbi.nlm.nih.gov/pubmed/36836864 http://dx.doi.org/10.3390/life13020507 |
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author | Lanzafame, Ludovica R. M. Bucolo, Giuseppe M. Muscogiuri, Giuseppe Sironi, Sandro Gaeta, Michele Ascenti, Giorgio Booz, Christian Vogl, Thomas J. Blandino, Alfredo Mazziotti, Silvio D’Angelo, Tommaso |
author_facet | Lanzafame, Ludovica R. M. Bucolo, Giuseppe M. Muscogiuri, Giuseppe Sironi, Sandro Gaeta, Michele Ascenti, Giorgio Booz, Christian Vogl, Thomas J. Blandino, Alfredo Mazziotti, Silvio D’Angelo, Tommaso |
author_sort | Lanzafame, Ludovica R. M. |
collection | PubMed |
description | The technological development of Artificial Intelligence (AI) has grown rapidly in recent years. The applications of AI to cardiovascular imaging are various and could improve the radiologists’ workflow, speeding up acquisition and post-processing time, increasing image quality and diagnostic accuracy. Several studies have already proved AI applications in Coronary Computed Tomography Angiography and Cardiac Magnetic Resonance, including automatic evaluation of calcium score, quantification of coronary stenosis and plaque analysis, or the automatic quantification of heart volumes and myocardial tissue characterization. The aim of this review is to summarize the latest advances in the field of AI applied to cardiovascular CT and MR imaging. |
format | Online Article Text |
id | pubmed-9968221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99682212023-02-27 Artificial Intelligence in Cardiovascular CT and MR Imaging Lanzafame, Ludovica R. M. Bucolo, Giuseppe M. Muscogiuri, Giuseppe Sironi, Sandro Gaeta, Michele Ascenti, Giorgio Booz, Christian Vogl, Thomas J. Blandino, Alfredo Mazziotti, Silvio D’Angelo, Tommaso Life (Basel) Review The technological development of Artificial Intelligence (AI) has grown rapidly in recent years. The applications of AI to cardiovascular imaging are various and could improve the radiologists’ workflow, speeding up acquisition and post-processing time, increasing image quality and diagnostic accuracy. Several studies have already proved AI applications in Coronary Computed Tomography Angiography and Cardiac Magnetic Resonance, including automatic evaluation of calcium score, quantification of coronary stenosis and plaque analysis, or the automatic quantification of heart volumes and myocardial tissue characterization. The aim of this review is to summarize the latest advances in the field of AI applied to cardiovascular CT and MR imaging. MDPI 2023-02-11 /pmc/articles/PMC9968221/ /pubmed/36836864 http://dx.doi.org/10.3390/life13020507 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Lanzafame, Ludovica R. M. Bucolo, Giuseppe M. Muscogiuri, Giuseppe Sironi, Sandro Gaeta, Michele Ascenti, Giorgio Booz, Christian Vogl, Thomas J. Blandino, Alfredo Mazziotti, Silvio D’Angelo, Tommaso Artificial Intelligence in Cardiovascular CT and MR Imaging |
title | Artificial Intelligence in Cardiovascular CT and MR Imaging |
title_full | Artificial Intelligence in Cardiovascular CT and MR Imaging |
title_fullStr | Artificial Intelligence in Cardiovascular CT and MR Imaging |
title_full_unstemmed | Artificial Intelligence in Cardiovascular CT and MR Imaging |
title_short | Artificial Intelligence in Cardiovascular CT and MR Imaging |
title_sort | artificial intelligence in cardiovascular ct and mr imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968221/ https://www.ncbi.nlm.nih.gov/pubmed/36836864 http://dx.doi.org/10.3390/life13020507 |
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