aspg-27-1106-1792226187 20261017083627 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Artificial Intelligence and Education Technology IJAIET 2835-2432 2022 1 1 Huda Mubarak Ismail Ministry of Defense, Baghdad, Iraq Pedram Salehpour Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Seyed Hadi Aghdasi Alamdari Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 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 17 24 1106 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJAIET.010102 https://americaspg.com/journal/27/article/1106 https://americaspg.com/storage/4679.pdf