Artificial Intelligence Based Model for Covid-19 Detection by Analyzing X-Ray Images: Researches, challenges and Future Directions

The interdependence between artificial intelligence and medical services allows for saving time and devices with a high degree of accuracy in medical analyses. Because medical imaging devices and computers are available in hospitals, this method of diagnosing COVID-19 infection is less expensive and faster than traditional methods. And our goal in this research is to shed light on research efforts in the field of exploiting artificial intelligence, software, and algorithms that allow the machine to learn by itself to detect the COVID-19 virus taken from Medical chest x-rays, comparing research conducted in this area over the past two years, this paper reviews 40 published research papers, studied and categorized based on specific criteria, to obtain a comprehensive view of the use of deep learning and machine learning models that predict COVID-19 infection And future aspirations for the possibility of applying this method of diagnosis on a global scale in hospitals and health care centers.