Utilizing AI in the Fight Against COVID-19: Exploring Strategies, Challenges, and Future Prospects

Abstract

The COVID-19 pandemic, which has lasted for the past some years, has had a significant impact on society globally, resulting in many deaths and requiring innovative approaches to address its difficulties. Researchers have stepped up their attempts to utilize AI in numerous areas of medical science to combat COVID- 19, acknowledging its crucial function. This paper thoroughly examines the evaluation and investigation of several ML and DL methods, as well as their combinations, used in current research projects. This research aims to tackle the complex challenges stemming from the COVID-19 pandemic by analyzing a variety of studies that used various kinds of data. ML, DL, and AI applications are crucial tools for enhancing medical capabilities and response methods. The paper thoroughly analyses and compares the effectiveness of stand-alone ML and DL research projects in tackling difficulties related to COVID-19. This comparative evaluation aims to address important research inquiries and guide future investigations in this field. The study addresses the research issues by providing insights into the existing use of AI in the context of COVID-19 and suggesting future research options. The synthesis of findings is intended to provide guidance to various research groups for creating practical applications utilizing ML, DL, and AI models. The incorporation of AI in medical science offers optimism and progress amidst the challenges of COVID-19.