  In 2019, the entire world is facing a situation of health emergency due to a
newly emerged coronavirus (COVID-19). Almost 196 countries are affected by
covid-19, while USA, Italy, China, Spain, Iran, and France have the maximum
active cases of COVID-19. The issues, medical and healthcare departments are
facing in delay of detecting the COVID-19. Several artificial intelligence
based system are designed for the automatic detection of COVID-19 using chest
x-rays. In this article we will discuss the different approaches used for the
detection of COVID-19 and the challenges we are facing. It is mandatory to
develop an automatic detection system to prevent the transfer of the virus
through contact. Several deep learning architecture are deployed for the
detection of COVID-19 such as ResNet, Inception, Googlenet etc. All these
approaches are detecting the subjects suffering with pneumonia while its hard
to decide whether the pneumonia is caused by COVID-19 or due to any other
bacterial or fungal attack.
