Application and use cases of artificial intelligence techniques against COVID 19
DOI:
https://doi.org/10.15381/risi.v14i1.21862Keywords:
COVID-19, deep learning, convolutional neural networksAbstract
The objective of the present work is to publicize the main applications and use cases of artificial intelligence techniques in helping to combat COVID-19 in fields such as detection and diagnosis, vaccine development, prediction and forecasting of COVID-19. For this reason, to achieve this objective, a literature review will be carried out, our main contribution being a state of the art that provides a general description of some new and more relevant solutions achieved until the present year 2020. Various authors, have developed different algorithms related to COVID-19 to achieve the early detection of lung problems, through X-ray images where deep learning techniques such as Convolutional Neural Networks prove to be the best for this type of work, given the good precision at the time of predict whether a person has COVID-19 or not.
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Copyright (c) 2021 Francisco Antonio Aira Céspedes, Luis Miguel Casas Moya, Pablo Jesús Romero Naupari
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