Exploring Generative AI Applications in Combating COVID-19

Abstract: The COVID-19 pandemic has reshaped the world, causing widespread health crises, economic disruption, and some serious social changes. The initial outbreak in Wuhan saw a rapid escalation in cases, leading Chinese authorities to enforce stringent lockdown measures. Traditional testing methods for COVID-19 are time-consuming and can be costly, often taking hours or days to yield results. To overcome these challenges, researchers have developed automated systems employing various Artificial Intelligence (AI) techniques to detect coronavirus infections. Over the previous decade, the integration of AI with medical imaging has revolutionized multiple industries, particularly healthcare, by improving the diagnosis and treatment of numerous conditions. Generative AI and Generative Adversarial Networks (GANs) play a significant role in detecting and managing COVID- 19 through various innovative applications. This paper draws attention to the applications of generative AI systems for COVID-19 detection, highlighting their potential to enhance testing efficiency and accuracy.