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Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance
Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336209/ https://www.ncbi.nlm.nih.gov/pubmed/32676206 http://dx.doi.org/10.1155/2020/4972346 |
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author | Romiti, Silvia Vinciguerra, Mattia Saade, Wael Anso Cortajarena, Iñaki Greco, Ernesto |
author_facet | Romiti, Silvia Vinciguerra, Mattia Saade, Wael Anso Cortajarena, Iñaki Greco, Ernesto |
author_sort | Romiti, Silvia |
collection | PubMed |
description | Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. The aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice. |
format | Online Article Text |
id | pubmed-7336209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-73362092020-07-15 Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance Romiti, Silvia Vinciguerra, Mattia Saade, Wael Anso Cortajarena, Iñaki Greco, Ernesto Cardiol Res Pract Review Article Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. The aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice. Hindawi 2020-06-27 /pmc/articles/PMC7336209/ /pubmed/32676206 http://dx.doi.org/10.1155/2020/4972346 Text en Copyright © 2020 Silvia Romiti et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Romiti, Silvia Vinciguerra, Mattia Saade, Wael Anso Cortajarena, Iñaki Greco, Ernesto Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title_full | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title_fullStr | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title_full_unstemmed | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title_short | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
title_sort | artificial intelligence (ai) and cardiovascular diseases: an unexpected alliance |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336209/ https://www.ncbi.nlm.nih.gov/pubmed/32676206 http://dx.doi.org/10.1155/2020/4972346 |
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