Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Inovação (Online) |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8668109 |
Resumo: | The COVID-19 pandemic and the consequent growth of scientific and technological research to fight it presents challenges for researchers who need to monitor the knowledge produced within this theme. Among these supporting technologies are Artificial Intelligence (AI) and its applications. This article carried out a technological prospection to describe the technological landscape of AI applications in the fight against COVID-19. 350 patent families were analyzed, which were organized by technological categories. The prevalence of patent filings from India, China, and the United States was demonstrated. Collaboration between innovative countries and organizations was not evident, unlike what was observed in academic collaborations in previous studies. There was a predominance of technologies in the areas of computing and medicine, that is, ICTs adapted for the treatment or processing of medical data with a focus on identification, screening, diagnosis, and prediction of new outbreaks of the epidemic. |
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Revista Brasileira de Inovação (Online) |
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Applications of artificial intelligence to combat COVID-19: a technology prospection based on patentsApplications of artificial intelligence to combat COVID-19: a technology prospection based on patentsApplications of artificial intelligence to combat COVID-19: a technology prospection based on patentsCovid-19Inteligência artificialProspecção tecnológicaCovid-19Inteligência artificialProspecção tecnológicaCovid-19Artificial intelligenceTechnological prospectingThe COVID-19 pandemic and the consequent growth of scientific and technological research to fight it presents challenges for researchers who need to monitor the knowledge produced within this theme. Among these supporting technologies are Artificial Intelligence (AI) and its applications. This article carried out a technological prospection to describe the technological landscape of AI applications in the fight against COVID-19. 350 patent families were analyzed, which were organized by technological categories. The prevalence of patent filings from India, China, and the United States was demonstrated. Collaboration between innovative countries and organizations was not evident, unlike what was observed in academic collaborations in previous studies. There was a predominance of technologies in the areas of computing and medicine, that is, ICTs adapted for the treatment or processing of medical data with a focus on identification, screening, diagnosis, and prediction of new outbreaks of the epidemic.The COVID-19 pandemic and the consequent growth of scientific and technological research to fight it presents challenges for researchers who need to monitor the knowledge produced within this theme. Among these supporting technologies are Artificial Intelligence (AI) and its applications. This article carried out a technological prospection to describe the technological landscape of AI applications in the fight against COVID-19. 350 patent families were analyzed, which were organized by technological categories. The prevalence of patent filings from India, China, and the United States was demonstrated. Collaboration between innovative countries and organizations was not evident, unlike what was observed in academic collaborations in previous studies. There was a predominance of technologies in the areas of computing and medicine, that is, ICTs adapted for the treatment or processing of medical data with a focus on identification, screening, diagnosis, and prediction of new outbreaks of the epidemic.The COVID-19 pandemic and the consequent growth of scientific and technological research to fight it presents challenges for researchers who need to monitor the knowledge produced within this theme. Among these supporting technologies are Artificial Intelligence (AI) and its applications. This article carried out a technological prospection to describe the technological landscape of AI applications in the fight against COVID-19. 350 patent families were analyzed, which were organized by technological categories. The prevalence of patent filings from India, China, and the United States was demonstrated. Collaboration between innovative countries and organizations was not evident, unlike what was observed in academic collaborations in previous studies. There was a predominance of technologies in the areas of computing and medicine, that is, ICTs adapted for the treatment or processing of medical data with a focus on identification, screening, diagnosis, and prediction of new outbreaks of the epidemic.Universidade Estadual de Campinas2023-11-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoTextoinfo:eu-repo/semantics/otherapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/866810910.20396/rbi.v22i00.8668109Revista Brasileira de Inovação; Vol. 22 (2023): Continuous Publication; 1-35Revista Brasileira de Inovação; Vol. 22 (2023): Publicación Continua; 1-35Revista Brasileira de Inovação; v. 22 (2023): Publicação Contínua; 1-352178-2822reponame:Revista Brasileira de Inovação (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8668109/33158Brazil; ContemporaryBrasil; ContemporáneoBrasil; ContemporâneoCopyright (c) 2023 Creative Commonshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Melo, Daniel Reis Armond deVilela Junior, Dalton ChavesRodrigues, Lana Goncalves Pereira, Karla Susiane dos Santos2023-12-23T20:06:55Zoai:ojs.periodicos.sbu.unicamp.br:article/8668109Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rbiPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/oai||rbi@ige.unicamp.br2178-28221677-2504opendoar:2023-12-23T20:06:55Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
title |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
spellingShingle |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents Melo, Daniel Reis Armond de Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Artificial intelligence Technological prospecting |
title_short |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
title_full |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
title_fullStr |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
title_full_unstemmed |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
title_sort |
Applications of artificial intelligence to combat COVID-19: a technology prospection based on patents |
author |
Melo, Daniel Reis Armond de |
author_facet |
Melo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves Pereira, Karla Susiane dos Santos |
author_role |
author |
author2 |
Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves Pereira, Karla Susiane dos Santos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Melo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves Pereira, Karla Susiane dos Santos |
dc.subject.por.fl_str_mv |
Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Artificial intelligence Technological prospecting |
topic |
Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Inteligência artificial Prospecção tecnológica Covid-19 Artificial intelligence Technological prospecting |
description |
The COVID-19 pandemic and the consequent growth of scientific and technological research to fight it presents challenges for researchers who need to monitor the knowledge produced within this theme. Among these supporting technologies are Artificial Intelligence (AI) and its applications. This article carried out a technological prospection to describe the technological landscape of AI applications in the fight against COVID-19. 350 patent families were analyzed, which were organized by technological categories. The prevalence of patent filings from India, China, and the United States was demonstrated. Collaboration between innovative countries and organizations was not evident, unlike what was observed in academic collaborations in previous studies. There was a predominance of technologies in the areas of computing and medicine, that is, ICTs adapted for the treatment or processing of medical data with a focus on identification, screening, diagnosis, and prediction of new outbreaks of the epidemic. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto Texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8668109 10.20396/rbi.v22i00.8668109 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8668109 |
identifier_str_mv |
10.20396/rbi.v22i00.8668109 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8668109/33158 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Creative Commons https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Creative Commons https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary Brasil; Contemporáneo Brasil; Contemporâneo |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
Revista Brasileira de Inovação; Vol. 22 (2023): Continuous Publication; 1-35 Revista Brasileira de Inovação; Vol. 22 (2023): Publicación Continua; 1-35 Revista Brasileira de Inovação; v. 22 (2023): Publicação Contínua; 1-35 2178-2822 reponame:Revista Brasileira de Inovação (Online) instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Revista Brasileira de Inovação (Online) |
collection |
Revista Brasileira de Inovação (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
||rbi@ige.unicamp.br |
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1809464310274981888 |