An Automatic Coronavirus Detection Systems: Survey

Abstract

Today, the little person knows before the big the imminent danger that surrounds our world, which is the COVID-19 disease, which is caused by the coronavirus. The disease was first identified in 2019 in Wuhan, China, and has since spread globally, leading to the 2019–2020 coronavirus pandemic. Although a vaccine has been discovered for this epidemic, there is still a lot of time to ensure its end. Artificial intelligence techniques have proven themselves to be a powerful tool for automatic diagnosis of COVID-19. So far, the diagnosis of infection has been largely based on polymerase testing (polymerase chain reaction), which requires an appropriate laboratory environment and takes some time before obtaining a result. This is why it is so important to develop automatic AI-based diagnostic tools to classify the outbreak of the Coronavirus. This paper aims to provide an overview of newly developed systems based on artificial intelligence techniques that use various medical imaging methods such as computer tomography and X-rays to speed up the diagnostic process. This paper aims to inform researchers of current patient detection systems by analyzing the research according to all treatment steps and list their most important features and analyze them to build a better system through knowing the good and bad aspects of most previously research work.