ABSTRACT
Major symptoms displayed by COVID-19 disease infected patients were found similar to common seasonal flu symptoms. The available detection tools used in the identification of COVID-19 positive cases were of time-consuming methods and sometimes produced false positive results. Therefore, development of supporting tools required for analysing patients infected with COVID-19 disease is of prime importance, hence the analysis of both the CT scan and the X-Ray images that can be utilized efficiently in detecting the positive cases of Covid 19. Recent research studies have proven that chest related X-ray images could explore the useful information related to the infection caused by COVID-19 virus. With the objective, present survey briefly explains the use of images obtained via X-ray in predicting infected COVID-19 cases employing Artificial Intelligence (AI) based ML approaches such as CNN (Convolutional Neural Network) and the SVM (Support Vector Machine) techniques. Latest information collected on AI-ML techniques used for COVID-19 detection was critically analysed to determine the best AI-ML method to be employed for obtaining precise identification and the diagnosis of COVID-19 disease and for the similar viral pandemics expected in the near future studying chest related x-ray images.
