Abstract
Screening for COVID-19 is one of the critical tasks, particularly for largely populated countries. Propelled clinical innovations can bolster screening somewhat, but to manage and control the outbreak, quicker and accurate screening would help. The fifth-generation computer science concept is Artificial Intelligence (AI). AI-based systems or tools have been widely applied in various industrial and service sector applications nowadays. Considered AI-based advances or applications is one of the promising answers for wellbeing screening too. During this challenging situation, AI-based technologies or solutions have been applied greatly to screen the COVID-19. This approach amazingly accelerates screening procedures and expanded screening accuracy. AI-powered systems or applications or tools were able to screen and detect COVID-19 within a few seconds. This is perhaps the fastest among the standard disease screening procedures. AI has been helping to screen and detect COVID-19 quickly using various approaches such as voice samples, CT scan images, cough sounds, and other predictive patterns in patients’ vital signs. Due to the application of AI-based methods and technologies, health care centers able to screen many thousand peoples in a short period. AI algorithms such as machine learning and deep learning are the two major promising solutions that have been applied by the researchers to provide solutions to fight with the COVID-19 conclusively.
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Samuel, S., Hameed, V.A., Rajadorai, K.P. (2021). Application of Artificial Intelligence (AI) for the Effective Screening of COVID-19. In: Mishra, S., Mallick, P.K., Tripathy, H.K., Chae, GS., Mishra, B.S.P. (eds) Impact of AI and Data Science in Response to Coronavirus Pandemic. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2786-6_3
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