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The prospective of Artificial Intelligence in COVID-19 Pandemic
Coronavirus disease 2019 (COVID-19) is a major threat throughout the world. The latest advancements in the field of computational techniques based on Artificial Intelligence (AI), Machine Learning (ML) and Big Data can help in detecting, monitoring and forecasting the severity of the COVID-19 pandem...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476291/ https://www.ncbi.nlm.nih.gov/pubmed/34603925 http://dx.doi.org/10.1007/s12553-021-00601-2 |
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author | Swayamsiddha, Swati Prashant, Kumar Shaw, Devansh Mohanty, Chandana |
author_facet | Swayamsiddha, Swati Prashant, Kumar Shaw, Devansh Mohanty, Chandana |
author_sort | Swayamsiddha, Swati |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) is a major threat throughout the world. The latest advancements in the field of computational techniques based on Artificial Intelligence (AI), Machine Learning (ML) and Big Data can help in detecting, monitoring and forecasting the severity of the COVID-19 pandemic. We aim to review the detection of the COVID-19 pandemic empowered by AI, major implications, challenges and the future of smart health care at a glance. The AI plays a pioneering role in rapid and improved detection of the disease. It helps in modeling the disease activity and predicting the severity for better decision making and preparedness by healthcare authorities and policymakers. It is a promising technology for automatic and fully transparent monitoring system to track and treat the patients remotely without spreading the virus to others. The future application areas of AI-based healthcare are also identified. The role of AI in tackling the COVID-19 pandemic is reviewed in this paper. AI proves beneficial in early detection with improved results. It also provides solution for contact tracing, prediction, drug development thus reducing the workload of medical industry. |
format | Online Article Text |
id | pubmed-8476291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-84762912021-09-28 The prospective of Artificial Intelligence in COVID-19 Pandemic Swayamsiddha, Swati Prashant, Kumar Shaw, Devansh Mohanty, Chandana Health Technol (Berl) Review Paper Coronavirus disease 2019 (COVID-19) is a major threat throughout the world. The latest advancements in the field of computational techniques based on Artificial Intelligence (AI), Machine Learning (ML) and Big Data can help in detecting, monitoring and forecasting the severity of the COVID-19 pandemic. We aim to review the detection of the COVID-19 pandemic empowered by AI, major implications, challenges and the future of smart health care at a glance. The AI plays a pioneering role in rapid and improved detection of the disease. It helps in modeling the disease activity and predicting the severity for better decision making and preparedness by healthcare authorities and policymakers. It is a promising technology for automatic and fully transparent monitoring system to track and treat the patients remotely without spreading the virus to others. The future application areas of AI-based healthcare are also identified. The role of AI in tackling the COVID-19 pandemic is reviewed in this paper. AI proves beneficial in early detection with improved results. It also provides solution for contact tracing, prediction, drug development thus reducing the workload of medical industry. Springer Berlin Heidelberg 2021-09-28 2021 /pmc/articles/PMC8476291/ /pubmed/34603925 http://dx.doi.org/10.1007/s12553-021-00601-2 Text en © IUPESM and Springer-Verlag GmbH Germany, 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 | Review Paper Swayamsiddha, Swati Prashant, Kumar Shaw, Devansh Mohanty, Chandana The prospective of Artificial Intelligence in COVID-19 Pandemic |
title | The prospective of Artificial Intelligence in COVID-19 Pandemic |
title_full | The prospective of Artificial Intelligence in COVID-19 Pandemic |
title_fullStr | The prospective of Artificial Intelligence in COVID-19 Pandemic |
title_full_unstemmed | The prospective of Artificial Intelligence in COVID-19 Pandemic |
title_short | The prospective of Artificial Intelligence in COVID-19 Pandemic |
title_sort | prospective of artificial intelligence in covid-19 pandemic |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476291/ https://www.ncbi.nlm.nih.gov/pubmed/34603925 http://dx.doi.org/10.1007/s12553-021-00601-2 |
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