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Artificial intelligence in cardiology: Hope for the future and power for the present
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With the pressures for improved care and translation of the latest medical advances and knowledge to an actionable plan, clinical decision-making for cardiologists is challenging. Artificial Intelligence (AI) is...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608631/ https://www.ncbi.nlm.nih.gov/pubmed/36312266 http://dx.doi.org/10.3389/fcvm.2022.945726 |
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author | Karatzia, Loucia Aung, Nay Aksentijevic, Dunja |
author_facet | Karatzia, Loucia Aung, Nay Aksentijevic, Dunja |
author_sort | Karatzia, Loucia |
collection | PubMed |
description | Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With the pressures for improved care and translation of the latest medical advances and knowledge to an actionable plan, clinical decision-making for cardiologists is challenging. Artificial Intelligence (AI) is a field in computer science that studies the design of intelligent agents which take the best feasible action in a situation. It incorporates the use of computational algorithms which simulate and perform tasks that traditionally require human intelligence such as problem solving and learning. Whilst medicine is arguably the last to apply AI in its everyday routine, cardiology is at the forefront of AI revolution in the medical field. The development of AI methods for accurate prediction of CVD outcomes, non-invasive diagnosis of coronary artery disease (CAD), detection of malignant arrythmias through wearables, and diagnosis, treatment strategies and prediction of outcomes for heart failure (HF) patients, demonstrates the potential of AI in future cardiology. With the advancements of AI, Internet of Things (IoT) and the promotion of precision medicine, the future of cardiology will be heavily based on these innovative digital technologies. Despite this, ethical dilemmas regarding the implementation of AI technologies in real-world are still unaddressed. |
format | Online Article Text |
id | pubmed-9608631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96086312022-10-28 Artificial intelligence in cardiology: Hope for the future and power for the present Karatzia, Loucia Aung, Nay Aksentijevic, Dunja Front Cardiovasc Med Cardiovascular Medicine Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With the pressures for improved care and translation of the latest medical advances and knowledge to an actionable plan, clinical decision-making for cardiologists is challenging. Artificial Intelligence (AI) is a field in computer science that studies the design of intelligent agents which take the best feasible action in a situation. It incorporates the use of computational algorithms which simulate and perform tasks that traditionally require human intelligence such as problem solving and learning. Whilst medicine is arguably the last to apply AI in its everyday routine, cardiology is at the forefront of AI revolution in the medical field. The development of AI methods for accurate prediction of CVD outcomes, non-invasive diagnosis of coronary artery disease (CAD), detection of malignant arrythmias through wearables, and diagnosis, treatment strategies and prediction of outcomes for heart failure (HF) patients, demonstrates the potential of AI in future cardiology. With the advancements of AI, Internet of Things (IoT) and the promotion of precision medicine, the future of cardiology will be heavily based on these innovative digital technologies. Despite this, ethical dilemmas regarding the implementation of AI technologies in real-world are still unaddressed. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9608631/ /pubmed/36312266 http://dx.doi.org/10.3389/fcvm.2022.945726 Text en Copyright © 2022 Karatzia, Aung and Aksentijevic. 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 Karatzia, Loucia Aung, Nay Aksentijevic, Dunja Artificial intelligence in cardiology: Hope for the future and power for the present |
title | Artificial intelligence in cardiology: Hope for the future and power for the present |
title_full | Artificial intelligence in cardiology: Hope for the future and power for the present |
title_fullStr | Artificial intelligence in cardiology: Hope for the future and power for the present |
title_full_unstemmed | Artificial intelligence in cardiology: Hope for the future and power for the present |
title_short | Artificial intelligence in cardiology: Hope for the future and power for the present |
title_sort | artificial intelligence in cardiology: hope for the future and power for the present |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608631/ https://www.ncbi.nlm.nih.gov/pubmed/36312266 http://dx.doi.org/10.3389/fcvm.2022.945726 |
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