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Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment

The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no specific treatment or medicine to cure the disease. The eff...

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Autores principales: Surianarayanan, Chellammal, Chelliah, Pethuru Raj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ohmsha 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191724/
https://www.ncbi.nlm.nih.gov/pubmed/34131359
http://dx.doi.org/10.1007/s00354-021-00128-0
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author Surianarayanan, Chellammal
Chelliah, Pethuru Raj
author_facet Surianarayanan, Chellammal
Chelliah, Pethuru Raj
author_sort Surianarayanan, Chellammal
collection PubMed
description The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no specific treatment or medicine to cure the disease. The effects of this disease appear to vary from individual to individual, right from mild cough, fever to respiratory disease. It also leads to mortality in many people. As the virus has a very rapid transmission rate, the entire world is in distress. The control and prevention of this disease has evolved as an urgent and critical issue to be addressed through technological solutions. The Healthcare industry therefore needs support from the domain of artificial intelligence (AI). AI has the inherent capability of imitating the human brain and assisting in decision-making support by automatically learning from input data. It can process huge amounts of data quickly without getting tiresome and making errors. AI technologies and tools significantly relieve the burden of healthcare professionals. In this paper, we review the critical role of AI in responding to different research challenges around the COVID-19 crisis. A sample implementation of a powerful probabilistic machine learning (ML) algorithm for assessment of risk levels of individuals is incorporated in this paper. Other pertinent application areas such as surveillance of people and hotspots, mortality prediction, diagnosis, prognostic assistance, drug repurposing and discovery of protein structure, and vaccine are presented. The paper also describes various challenges that are associated with the implementation of AI-based tools and solutions for practical use.
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spelling pubmed-81917242021-06-11 Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment Surianarayanan, Chellammal Chelliah, Pethuru Raj New Gener Comput Article The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no specific treatment or medicine to cure the disease. The effects of this disease appear to vary from individual to individual, right from mild cough, fever to respiratory disease. It also leads to mortality in many people. As the virus has a very rapid transmission rate, the entire world is in distress. The control and prevention of this disease has evolved as an urgent and critical issue to be addressed through technological solutions. The Healthcare industry therefore needs support from the domain of artificial intelligence (AI). AI has the inherent capability of imitating the human brain and assisting in decision-making support by automatically learning from input data. It can process huge amounts of data quickly without getting tiresome and making errors. AI technologies and tools significantly relieve the burden of healthcare professionals. In this paper, we review the critical role of AI in responding to different research challenges around the COVID-19 crisis. A sample implementation of a powerful probabilistic machine learning (ML) algorithm for assessment of risk levels of individuals is incorporated in this paper. Other pertinent application areas such as surveillance of people and hotspots, mortality prediction, diagnosis, prognostic assistance, drug repurposing and discovery of protein structure, and vaccine are presented. The paper also describes various challenges that are associated with the implementation of AI-based tools and solutions for practical use. Ohmsha 2021-06-10 2021 /pmc/articles/PMC8191724/ /pubmed/34131359 http://dx.doi.org/10.1007/s00354-021-00128-0 Text en © Ohmsha, Ltd. and Springer Japan KK, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Surianarayanan, Chellammal
Chelliah, Pethuru Raj
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title_full Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title_fullStr Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title_full_unstemmed Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title_short Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
title_sort leveraging artificial intelligence (ai) capabilities for covid-19 containment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191724/
https://www.ncbi.nlm.nih.gov/pubmed/34131359
http://dx.doi.org/10.1007/s00354-021-00128-0
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