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Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech com...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471764/ https://www.ncbi.nlm.nih.gov/pubmed/34575663 http://dx.doi.org/10.3390/jpm11090886 |
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author | Asada, Ken Komatsu, Masaaki Shimoyama, Ryo Takasawa, Ken Shinkai, Norio Sakai, Akira Bolatkan, Amina Yamada, Masayoshi Takahashi, Satoshi Machino, Hidenori Kobayashi, Kazuma Kaneko, Syuzo Hamamoto, Ryuji |
author_facet | Asada, Ken Komatsu, Masaaki Shimoyama, Ryo Takasawa, Ken Shinkai, Norio Sakai, Akira Bolatkan, Amina Yamada, Masayoshi Takahashi, Satoshi Machino, Hidenori Kobayashi, Kazuma Kaneko, Syuzo Hamamoto, Ryuji |
author_sort | Asada, Ken |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech companies, but also researchers, have directed their efforts toward overcoming this threat. The use of artificial intelligence (AI) has recently surged internationally and has been applied to diverse aspects of many problems. The benefits of using AI are now widely accepted, and many studies have shown great success in medical research on tasks, such as the classification, detection, and prediction of disease, or even patient outcome. In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been reported. Hence, in this review, we summarize the latest studies that focus on medical imaging analysis, drug discovery, and therapeutics such as vaccine development and public health decision-making using AI. This survey clarifies the advantages of using AI in the fight against COVID-19 and provides future directions for tackling the COVID-19 pandemic using AI techniques. |
format | Online Article Text |
id | pubmed-8471764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84717642021-09-28 Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics Asada, Ken Komatsu, Masaaki Shimoyama, Ryo Takasawa, Ken Shinkai, Norio Sakai, Akira Bolatkan, Amina Yamada, Masayoshi Takahashi, Satoshi Machino, Hidenori Kobayashi, Kazuma Kaneko, Syuzo Hamamoto, Ryuji J Pers Med Review The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech companies, but also researchers, have directed their efforts toward overcoming this threat. The use of artificial intelligence (AI) has recently surged internationally and has been applied to diverse aspects of many problems. The benefits of using AI are now widely accepted, and many studies have shown great success in medical research on tasks, such as the classification, detection, and prediction of disease, or even patient outcome. In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been reported. Hence, in this review, we summarize the latest studies that focus on medical imaging analysis, drug discovery, and therapeutics such as vaccine development and public health decision-making using AI. This survey clarifies the advantages of using AI in the fight against COVID-19 and provides future directions for tackling the COVID-19 pandemic using AI techniques. MDPI 2021-09-04 /pmc/articles/PMC8471764/ /pubmed/34575663 http://dx.doi.org/10.3390/jpm11090886 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 Asada, Ken Komatsu, Masaaki Shimoyama, Ryo Takasawa, Ken Shinkai, Norio Sakai, Akira Bolatkan, Amina Yamada, Masayoshi Takahashi, Satoshi Machino, Hidenori Kobayashi, Kazuma Kaneko, Syuzo Hamamoto, Ryuji Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title | Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title_full | Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title_fullStr | Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title_full_unstemmed | Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title_short | Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics |
title_sort | application of artificial intelligence in covid-19 diagnosis and therapeutics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471764/ https://www.ncbi.nlm.nih.gov/pubmed/34575663 http://dx.doi.org/10.3390/jpm11090886 |
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