A Deep Dive in Covid-19 Diagnosis using Generic Artificial Intelligence

The SARS-CoV-2 infection initiated COVID-19 ejection has spread rapidly all through the world, prompting global flare-ups. The COVID-19 battle to check the spread of the infection includes the greater part of the nations. This paper takes a gander at the Artificial Intelligence (AI)- based machine learning and deep learning techniques for COVID-19 diagnosis. Moreover, in the fight against COVID-19, this paper sum up the AI-based machine learning (ML) and deep learning (DL) strategies like Support vector machine(SVM),U-Net, XGBoost, Xception, Convolution Neural Network and its various versions like ResNet and many more. This review offers a summarize information of the current state-of-the-art methodologies of ML and DL methods and how these methods can work in the situation with COVID-19. This paper also discusses the limitations of work done by other researchers and based on that gives the possible solution and the future research directions in Covid-19 diagnosis.