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Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine
The future of healthcare is an organic blend of technology, innovation, and human connection. As artificial intelligence (AI) is gradually becoming a go-to technology in healthcare to improve efficiency and outcomes, we must understand our limitations. We should realize that our goal is not only to...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658222/ https://www.ncbi.nlm.nih.gov/pubmed/34884412 http://dx.doi.org/10.3390/jcm10235710 |
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author | Abedi, Vida Razavi, Seyed-Mostafa Khan, Ayesha Avula, Venkatesh Tompe, Aparna Poursoroush, Asma Vafaei Sadr, Alireza Li, Jiang Zand, Ramin |
author_facet | Abedi, Vida Razavi, Seyed-Mostafa Khan, Ayesha Avula, Venkatesh Tompe, Aparna Poursoroush, Asma Vafaei Sadr, Alireza Li, Jiang Zand, Ramin |
author_sort | Abedi, Vida |
collection | PubMed |
description | The future of healthcare is an organic blend of technology, innovation, and human connection. As artificial intelligence (AI) is gradually becoming a go-to technology in healthcare to improve efficiency and outcomes, we must understand our limitations. We should realize that our goal is not only to provide faster and more efficient care, but also to deliver an integrated solution to ensure that the care is fair and not biased to a group of sub-population. In this context, the field of cardio-cerebrovascular diseases, which encompasses a wide range of conditions—from heart failure to stroke—has made some advances to provide assistive tools to care providers. This article aimed to provide an overall thematic review of recent development focusing on various AI applications in cardio-cerebrovascular diseases to identify gaps and potential areas of improvement. If well designed, technological engines have the potential to improve healthcare access and equitability while reducing overall costs, diagnostic errors, and disparity in a system that affects patients and providers and strives for efficiency. |
format | Online Article Text |
id | pubmed-8658222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86582222021-12-10 Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine Abedi, Vida Razavi, Seyed-Mostafa Khan, Ayesha Avula, Venkatesh Tompe, Aparna Poursoroush, Asma Vafaei Sadr, Alireza Li, Jiang Zand, Ramin J Clin Med Review The future of healthcare is an organic blend of technology, innovation, and human connection. As artificial intelligence (AI) is gradually becoming a go-to technology in healthcare to improve efficiency and outcomes, we must understand our limitations. We should realize that our goal is not only to provide faster and more efficient care, but also to deliver an integrated solution to ensure that the care is fair and not biased to a group of sub-population. In this context, the field of cardio-cerebrovascular diseases, which encompasses a wide range of conditions—from heart failure to stroke—has made some advances to provide assistive tools to care providers. This article aimed to provide an overall thematic review of recent development focusing on various AI applications in cardio-cerebrovascular diseases to identify gaps and potential areas of improvement. If well designed, technological engines have the potential to improve healthcare access and equitability while reducing overall costs, diagnostic errors, and disparity in a system that affects patients and providers and strives for efficiency. MDPI 2021-12-06 /pmc/articles/PMC8658222/ /pubmed/34884412 http://dx.doi.org/10.3390/jcm10235710 Text en © 2021 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 Abedi, Vida Razavi, Seyed-Mostafa Khan, Ayesha Avula, Venkatesh Tompe, Aparna Poursoroush, Asma Vafaei Sadr, Alireza Li, Jiang Zand, Ramin Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title | Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title_full | Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title_fullStr | Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title_full_unstemmed | Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title_short | Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine |
title_sort | artificial intelligence: a shifting paradigm in cardio-cerebrovascular medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658222/ https://www.ncbi.nlm.nih.gov/pubmed/34884412 http://dx.doi.org/10.3390/jcm10235710 |
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