During this evolved worldwide health crisis, the medical industry is searching for new technologies to monitor and control the Coronavirus pandemic's spread. Artificial intelligence is a technology that can easily trace the reach of this virus, classify high-risk patients, and maintain this infection in real-time. It can also foretell mortality risk by analyzing the previously obtained data of the patients. It can help oppose this virus by population screening, medical help, notification, and infection control suggestions. Machine Learning (ML) techniques help improve detection, tracing, prognosis, and prevention. This paper will explore how the healthcare sector benefits from utilizing ML models to fight against the COVID-19. It introduces the techniques that enhanced health care delivery efficiency, accessibility, and cost-effectiveness during the pandemic. This work presents a case study of forecasting the COVID-19 numbers in Saudi Arabia using the ARIMA model to provide further insights and practically support health care management.