A Comprehensive Review of Artificial Intelligence Used to Combat COVID-19

Abstract

Coronavirus disease (COVID-19) has had a significant impact on global health since the start of the pandemic in 2019. Over 422 million people have been infected globally and 5.8 million have died because of the disease. Artificial Intelligence (AI) solutions have played a major part in this pandemic for diagnosing and treating patients with COVID-19. In this research, we review these modern tools deployed to solve a variety of complex problems. Research goals include analyzing medical images using AI models for identification, classification, and tissue segmentation of the disease; Exploring prognostic models that were developed to predict health outcomes; Focusing on contact tracing to analyze geographical and managerial efforts taken to combat this pandemic. This comprehensive review of the different AI methods and modeling efforts will shed light on the role of AI and what path it intends to take in the fight against COVID-19.