Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Swayamsiddha, Swati, Prashant, Kumar, Shaw, Devansh, Mohanty, Chandana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
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
_version_ 1784575578096009216
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
work_keys_str_mv AT swayamsiddhaswati theprospectiveofartificialintelligenceincovid19pandemic
AT prashantkumar theprospectiveofartificialintelligenceincovid19pandemic
AT shawdevansh theprospectiveofartificialintelligenceincovid19pandemic
AT mohantychandana theprospectiveofartificialintelligenceincovid19pandemic
AT swayamsiddhaswati prospectiveofartificialintelligenceincovid19pandemic
AT prashantkumar prospectiveofartificialintelligenceincovid19pandemic
AT shawdevansh prospectiveofartificialintelligenceincovid19pandemic
AT mohantychandana prospectiveofartificialintelligenceincovid19pandemic