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

Autores/as

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"

Palabras clave:

Inteligencia Artificial, COVID 19, Diagnóstico médico, Aprendizaje Automático

Resumen

La pandemia de la COVID 19 ha cambiado muchos de los paradigmas de la sociedad moderna. Cuando ya han pasado nueve meses desde su inicio, aún no se tiene claro cómo y cuándo terminará, pero sí se sabe que dejará una sociedad cambiada. En este trabajo, se presenta un bosquejo de lo que ha podido aportar la Inteligencia Artificial en esta batalla contra la pandemia. Para ello, se revisan más de 30 trabajos publicados en las principales revistas científicas, en que se reportan aplicaciones de la Inteligencia Artificial frente a la COVID. Entre las temáticas en los que parece ser más importante están: el diagnóstico, el diseño de medicamentos, la predicción del comportamiento de la pandemia, y la gestión de la misma. Los métodos más empleados reportados son Aprendizaje Automático, y particularmente los de Aprendizaje Profundo. Sin ser exhaustivo, este bosquejo permite entender claramente el rol que la Inteligencia Artificial puede y debe jugar en este contexto.

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