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Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic
The world has never been prepared for global pandemics like the COVID-19, currently posing an immense threat to the public and consistent pressure on the global healthcare systems to navigate optimized tools, equipments, medicines, and techno-driven approaches to retard the infection spread. The syn...
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/PMC8148397/ https://www.ncbi.nlm.nih.gov/pubmed/34036497 http://dx.doi.org/10.1007/s11356-021-13823-8 |
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author | Kaur, Ishnoor Behl, Tapan Aleya, Lotfi Rahman, Habibur Kumar, Arun Arora, Sandeep Bulbul, Israt Jahan |
author_facet | Kaur, Ishnoor Behl, Tapan Aleya, Lotfi Rahman, Habibur Kumar, Arun Arora, Sandeep Bulbul, Israt Jahan |
author_sort | Kaur, Ishnoor |
collection | PubMed |
description | The world has never been prepared for global pandemics like the COVID-19, currently posing an immense threat to the public and consistent pressure on the global healthcare systems to navigate optimized tools, equipments, medicines, and techno-driven approaches to retard the infection spread. The synergized outcome of artificial intelligence paradigms and human-driven control measures elicit a significant impact on screening, analysis, prediction, and tracking the currently infected individuals, and likely the future patients, with precision and accuracy, generating regular international and national data on confirmed, recovered, and death cases, as the current status of 3,820,869 infected patients worldwide. Artificial intelligence is a frontline concept, with time-saving, cost-effective, and productive access to disease management, rendering positive results in physician assistance in high workload conditions, radiology imaging, computational tomography, and database formulations, to facilitate availability of information accessible to researchers all over the globe. The review tends to elaborate the role of industry 4.0 technology, fast diagnostic procedures, and convolutional neural networks, as artificial intelligence aspects, in potentiating the COVID-19 management criteria and differentiating infection in SARS-CoV-2 positive and negative groups. Therefore, the review successfully supplements the processes of vaccine development, disease management, diagnosis, patient records, transmission inhibition, social distancing, and future pandemic predictions, with artificial intelligence revolution and smart techno processes to ensure that the human race wins this battle with COVID-19 and many more combats in the future. |
format | Online Article Text |
id | pubmed-8148397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-81483972021-05-26 Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic Kaur, Ishnoor Behl, Tapan Aleya, Lotfi Rahman, Habibur Kumar, Arun Arora, Sandeep Bulbul, Israt Jahan Environ Sci Pollut Res Int Environmental Factors and the Epidemics of COVID-19 The world has never been prepared for global pandemics like the COVID-19, currently posing an immense threat to the public and consistent pressure on the global healthcare systems to navigate optimized tools, equipments, medicines, and techno-driven approaches to retard the infection spread. The synergized outcome of artificial intelligence paradigms and human-driven control measures elicit a significant impact on screening, analysis, prediction, and tracking the currently infected individuals, and likely the future patients, with precision and accuracy, generating regular international and national data on confirmed, recovered, and death cases, as the current status of 3,820,869 infected patients worldwide. Artificial intelligence is a frontline concept, with time-saving, cost-effective, and productive access to disease management, rendering positive results in physician assistance in high workload conditions, radiology imaging, computational tomography, and database formulations, to facilitate availability of information accessible to researchers all over the globe. The review tends to elaborate the role of industry 4.0 technology, fast diagnostic procedures, and convolutional neural networks, as artificial intelligence aspects, in potentiating the COVID-19 management criteria and differentiating infection in SARS-CoV-2 positive and negative groups. Therefore, the review successfully supplements the processes of vaccine development, disease management, diagnosis, patient records, transmission inhibition, social distancing, and future pandemic predictions, with artificial intelligence revolution and smart techno processes to ensure that the human race wins this battle with COVID-19 and many more combats in the future. Springer Berlin Heidelberg 2021-05-25 2021 /pmc/articles/PMC8148397/ /pubmed/34036497 http://dx.doi.org/10.1007/s11356-021-13823-8 Text en © The Author(s), under exclusive licence to 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 | Environmental Factors and the Epidemics of COVID-19 Kaur, Ishnoor Behl, Tapan Aleya, Lotfi Rahman, Habibur Kumar, Arun Arora, Sandeep Bulbul, Israt Jahan Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title | Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title_full | Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title_fullStr | Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title_full_unstemmed | Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title_short | Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic |
title_sort | artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in covid-19 pandemic |
topic | Environmental Factors and the Epidemics of COVID-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148397/ https://www.ncbi.nlm.nih.gov/pubmed/34036497 http://dx.doi.org/10.1007/s11356-021-13823-8 |
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