AI Techniques for COVID-19 Pandemic

Human potential is being expanded with the development of AI. Increases in both the quantity and quality of medically-verified reports of successful treatments, as well as the rate at which our understanding of these treatments is expanding, are providing a fresh perspective on human administration. This research was driven by the need to bring attention to the need of using AI to combat the COVID-19 Crisis, and it focuses on the current state of AI applications in clinical administration while treating COVID-19. Deciphering this pathogen also requires the use of Big Data, which we stress. We also give an overview of several intelligence methodologies and procedures that can be employed for various medical information-based pandemics. We categorise the various forms of artificial intelligence now employed in health care research, such as neural networks, conventional support vector machines, and cutting-edge knowledge acquisition. Areas that use Intelligence cloud computing to combat other viruses like COVID-19 have also received attention. This study was conducted to assist medical practitioners and scientists in overcoming challenges they have encountered in processing COVID-19 large data sets. Some of the researched methodologies have proposed important advances in medical research methodology, however their accuracy is only around 90%. We wrap off with a deep dive into how AI could give security researchers a leg up in the struggle against this type of malware.