COVID-19: Toward Artificial Intelligence Algorithms

Abstract

Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.