Abstract
The current pandemic of COVID-19 – Coronavirus Disease-19, caused by the pathogen SARS-CoV-2, has already killed thousands of people in the year of 2020. We did a review of literature to understand the potential use of AI to respond to COVID-19. The search strategy used five descriptors: (i) “Artificial Intelligence”, (ii) “Deep Learning”, (iii) “Machine Learning”, (iv) “COVID-19” and (v) “SARS-CoV-2”, which have been combined to search for articles in the PubMed and ResearchGate databases. The bibliographic search has been complemented with texts of previous knowledge of the authors. The subjects covered in the chosen bibliography have been organized into two main study categories: (i) AI for diagnosis; and (ii) AI for controlling dissemination. The final considerations point out the main complications for the proper use of AI and the possibilities of its application to support decision making of health professionals and at managerial levels of public health.
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CITATION STYLE
Motta, O. J. R. da, Machado, G. R., Gomes, A. P., Nas, E., Silva, E., Goldschmidt, R. R., & Batista, R. S.-. (2020). COVID-19 Pandemic: How Artificial Intelligence can help us / COVID-19 Pandemia: Como a Inteligência Artificial pode nos ajudar. Brazilian Applied Science Review, 4(5), 2904–2915. https://doi.org/10.34115/basrv4n5-012
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