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The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.
Piccialli, Francesco; di Cola, Vincenzo Schiano; Giampaolo, Fabio; Cuomo, Salvatore.
Afiliação
  • Piccialli F; Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II, Naples, 80126 Italy.
  • di Cola VS; Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, 80125 Italy.
  • Giampaolo F; Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II, Naples, 80126 Italy.
  • Cuomo S; Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II, Naples, 80126 Italy.
Inf Syst Front ; 23(6): 1467-1497, 2021.
Article em En | MEDLINE | ID: mdl-33935585
ABSTRACT
The first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article