Covid-19 and Artificial Intelligence: Potential and Challenges

ABSTRACT

The COVID-19 has the potential to cause serious pneumonia and is predicted to cost the healthcare sector a lot of money. Early detection is essential for proper treatment and, as a result, for lowering healthcare system tension. The most popular imaging methods for checking pneumonia are chest X-rays (CXR) and Computed Tomography (CT) scans. CXRs are still important despite the fact that CT scans are the gold standard since they are less expensive, faster, and more readily available. The use of Artificial Intelligence (AI) to detect early coronavirus infections and track the health of infected patients is a promising new strategy. The development of effective algorithms will vastly enhance treatment continuity and decision-making. Not only in the safe keeping of COVID-19 patients, as well as in the continuous monitoring of patient wellbeing, AI is effective. It can monitor the COVID-19 spread on such a large scale, inclusion of biochemical, medical and epidemiological application. By analyzing data, it is also advantageous to encourage virus analysis. AI can assist in the development of successful effective treatment therapies, protection strategies, as well as the development of drugs and vaccines. This paper will examine the efficacy and diagnostic results of CXR and CT scan imaging to test for pneumonia caused due to COVID-19, and the ability of AI to determine doctors' ability to discern COVID-19 patients from healthy people. © 2021 IEEE.