Comparative Study of Systems Based on AI to Diagnostic of COVID-19
The pandemic COVID-19 keep spreading all over the world after it first appeared in China in December 2019. COVID-19 became an international issue for the health service. The role of each individual in our society is important to fight against this pandemic, the exceptional effort and various measures have been done and took by the healthcare and government to minimize the spread of this disease. Despite all this effort made, the number of COVID-19 cases increase and put a lot of pressure on the healthcare system all over the world, this end leads to many cases of deaths. The diagnostic of this virus in the early stage will help to treat the infected patients and save their life. The use of new technologies especially Artificial Intelligence (AI) can help radiologists and physicians to make fast, early, and exact diagnoses of this disease. In this paper, we elaborate a comparative study of various implemented methods for the diagnostic of COVID-19 based on the AI. And especially we will focus on the systems that combine the AI methods and medical imaging such as X-ray and CT