Diagnosing Covid-19 Using Graphical User Interface: A Deep Learning Approach

Abstract

 The COVID-19 pandemic has thrown the world into an unprecedented state of chaos, halting travel and claiming the lives of tens of thousands of people. COVID-19 continues to pose a serious hazard to public health. The infection can be fought using AI, according to this article (AI). It has been shown that Generative Adversarial Networks (GANs) can be used to achieve this purpose (GAN).. These platforms make it easy for doctors and researchers to access information from a wide range of sources, both structured and unstructured, using an integrated bioinformatics approach. Artificial Intelligence (AI) technologies can help speed up diagnosis and therapy for COVID-19. There were a lot of medical reports analysed for the aim of selecting inputs and targets for an Artificial Neural Network-based tool for COVID-19 difficulties. In addition, this platform's inputs include numerous data types, such as clinical data and medical imaging, that can increase the performance of the introduced technique toward the best results in practical applications.