A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI’s role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of A...

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Detalles Bibliográficos
Autores principales: Islam, Md. Mohaimenul, Poly, Tahmina Nasrin, Alsinglawi, Belal, Lin, Ming Chin, Hsu, Min-Huei, Li, Yu-Chuan (Jack)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124542/
https://www.ncbi.nlm.nih.gov/pubmed/34063302
http://dx.doi.org/10.3390/jcm10091961
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author Islam, Md. Mohaimenul
Poly, Tahmina Nasrin
Alsinglawi, Belal
Lin, Ming Chin
Hsu, Min-Huei
Li, Yu-Chuan (Jack)
author_facet Islam, Md. Mohaimenul
Poly, Tahmina Nasrin
Alsinglawi, Belal
Lin, Ming Chin
Hsu, Min-Huei
Li, Yu-Chuan (Jack)
author_sort Islam, Md. Mohaimenul
collection PubMed
description Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI’s role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.
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spelling pubmed-81245422021-05-17 A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19 Islam, Md. Mohaimenul Poly, Tahmina Nasrin Alsinglawi, Belal Lin, Ming Chin Hsu, Min-Huei Li, Yu-Chuan (Jack) J Clin Med Review Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI’s role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges. MDPI 2021-05-02 /pmc/articles/PMC8124542/ /pubmed/34063302 http://dx.doi.org/10.3390/jcm10091961 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
Islam, Md. Mohaimenul
Poly, Tahmina Nasrin
Alsinglawi, Belal
Lin, Ming Chin
Hsu, Min-Huei
Li, Yu-Chuan (Jack)
A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title_full A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title_fullStr A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title_full_unstemmed A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title_short A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
title_sort state-of-the-art survey on artificial intelligence to fight covid-19
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124542/
https://www.ncbi.nlm.nih.gov/pubmed/34063302
http://dx.doi.org/10.3390/jcm10091961
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