Un bosquejo de la inteligencia artificial frente a la COVID-19 en el mundo

Alejandro Rosete Suárez; María Matilde García Lorenzo; Yailé Caballero; Rafael Bello

Authors

Alejandro Rosete Suárez Universidad Tecnológica de La Habana "José Antonio Echevarría", CUJAE
María Matilde García Lorenzo Universidad Central de Las Villas "Marta Abreu"
Yailé Caballero Universidad de Camagüey
Rafael Bello Universidad Central de Las Villas "Marta Abreu"

Keywords:

Inteligencia Artificial, COVID 19, Diagnóstico médico, Aprendizaje Automático

Abstract

COVID 19 pandemic has changed several paradigms of the modern societies. More than 9 month since the initial outbreak there is no clear perspective about how and when it will be controlled. However, it is clear that a new world will appear after it. This paper presents an outline of the current contribution of Artificial Intelligence in the fight against the pandemic. The outline is based on the revision of more than 30 papers published in the most outstanding scientific journals reporting intelligent approaches against COVID. The most important topics of these papers are related to medical diagnosis, drugs discovery, pandemic forecasting and pandemic management. The most used intelligent techniques are machine learning tools, particularly deep learning methods. In spite of the fact that the presented outline is not exhaustive, it allows understanding which is the role that Artificial Intelligence can (must) play in this context.

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