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In the current scenario, the world is facing a challenging problem as COVID-19 which originated in the city of Wuhan in China and has now spread its roots across the entire world. The world has faced this hazardous situation with a large number of people getting affected by the virus. There are different methods presented by researchers for early diagnosis of COVID-19 that helps in giving prioritized and quick treatment action to high-risk patients. This leads to optimized utilization of medical resources to patients. This paper presents an analytical review on the application of artificial intelligence for the early diagnosis of abnormalities. Out of all AI techniques, deep learning proved its efficacy for prognostic analysis of COVID-19 using commonly used computed tomography.
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