International Journal of Artificial Intelligence and Education Technology IJAIET 2835-2432 10.54216/IJAIET https://www.americaspg.com/journals/show/1106 2022 2022 Ministry of Defense, Baghdad, Iraq Huda Mubarak Ismail Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Pedram Salehpour Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Seyed Hadi Aghdasi Alamdari The coronavirus has become a global crisis in recent months. The virus has disrupted or shut down many social, economic, sports, scientific, etc. activities. In addition to the medical importance of this Disease, its rapid and accurate diagnosis is an important need. In this study, we proposed a novel method to detect coronavirus using machine learning and classification algorithms based on lung images. In general, the method consists of two steps. At the first step, a convolutional neural network is trained with a data set of lung images that determine whether a viral infection exists or not. In the second step, another network is used to detect if the existence of viral infection is considered coronavirus or not. Experimental tests have been conducted that show the correct diagnosis can be made with 95.8%. 2022 2022 17 24 10.54216/IJAIET.010102 https://www.americaspg.com/articleinfo/27/show/1106