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Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome
Acute coronary syndrome is the leading cause of cardiac death and has a significant impact on patient prognosis. Early identification and proper management are key to ensuring better outcomes and have improved significantly with the development of various cardiovascular imaging modalities. Recently,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888682/ https://www.ncbi.nlm.nih.gov/pubmed/35252367 http://dx.doi.org/10.3389/fcvm.2021.782971 |
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author | Liu, Ming-hao Zhao, Chen Wang, Shengfang Jia, Haibo Yu, Bo |
author_facet | Liu, Ming-hao Zhao, Chen Wang, Shengfang Jia, Haibo Yu, Bo |
author_sort | Liu, Ming-hao |
collection | PubMed |
description | Acute coronary syndrome is the leading cause of cardiac death and has a significant impact on patient prognosis. Early identification and proper management are key to ensuring better outcomes and have improved significantly with the development of various cardiovascular imaging modalities. Recently, the use of artificial intelligence as a method of enhancing the capability of cardiovascular imaging has grown. AI can inform the decision-making process, as it enables existing modalities to perform more efficiently and make more accurate diagnoses. This review demonstrates recent applications of AI in cardiovascular imaging to facilitate better patient care. |
format | Online Article Text |
id | pubmed-8888682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88886822022-03-03 Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome Liu, Ming-hao Zhao, Chen Wang, Shengfang Jia, Haibo Yu, Bo Front Cardiovasc Med Cardiovascular Medicine Acute coronary syndrome is the leading cause of cardiac death and has a significant impact on patient prognosis. Early identification and proper management are key to ensuring better outcomes and have improved significantly with the development of various cardiovascular imaging modalities. Recently, the use of artificial intelligence as a method of enhancing the capability of cardiovascular imaging has grown. AI can inform the decision-making process, as it enables existing modalities to perform more efficiently and make more accurate diagnoses. This review demonstrates recent applications of AI in cardiovascular imaging to facilitate better patient care. Frontiers Media S.A. 2022-02-16 /pmc/articles/PMC8888682/ /pubmed/35252367 http://dx.doi.org/10.3389/fcvm.2021.782971 Text en Copyright © 2022 Liu, Zhao, Wang, Jia and Yu. https://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 Liu, Ming-hao Zhao, Chen Wang, Shengfang Jia, Haibo Yu, Bo Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title | Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title_full | Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title_fullStr | Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title_full_unstemmed | Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title_short | Artificial Intelligence—A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome |
title_sort | artificial intelligence—a good assistant to multi-modality imaging in managing acute coronary syndrome |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888682/ https://www.ncbi.nlm.nih.gov/pubmed/35252367 http://dx.doi.org/10.3389/fcvm.2021.782971 |
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