The outbreak of the COVID-19 pandemic caused the death of a large number of people. Millions of people are infected by this virus and are still getting infected day by day. As the cost and required time of conventional RT-PCR tests to detect COVID-19, researchers are trying to use medical images like X-Ray and Computed Tomography (CT) images to detect it with the help of Artificial Intelligence (AI) based systems. In this paper, we reviewed some of these newly emerging AI-based models that can detect COVID-19 from medical images using X-Ray or CT of lung images. We collected information about available research resources and inspected a total of 80 papers from the time period of February 21, 2020 to June 20, 2020. We explored and analyzed datasets, preprocessing techniques, segmentation, feature extraction, classification and experimental results which can be helpful for finding future research directions in the domain of automatic diagnosis of Covid-19 disease using Artificial Intelligence (AI) based frameworks.