Applications of artificial intelligence (AI) protecting from COVID-19 pandemic: A clinical and socioeconomic perspective

ABSTRACT

The coronavirus disease or COVID-19 is a fast-spreading pandemic caused due to the SARS-CoV-2 virus causing the death of many peoples worldwide. The conventional methods of disease detection and diagnosis like swab test using RT-PCR are not sufficient enough during this critical condition as it has several limitations along with possibilities of being contaminated. Computer-based tools are now being used for the demonstration of the disease and healthcare management. The present chapter is to demonstrate the various applications of AI-based model that is useful against COVID-19, based on recently developed technologies and research publications. The AI-based algorithm is driven by machine learning technology along with an advanced bio-computational technique for fast and precise diagnosis and detection of coronavirus disease. It also has the ability of early prediction and warning for the spread of disease. Moreover, AI-based techniques are also an important setup for the development of an effective drug or vaccine. It provides worldwide access to various databases of all research and medical data related to COVID-19 and also helps in the management of the socioeconomic constraints. This study summarizes the application of the artificial intelligence-based model and its utilities in the fight against this pandemic, along with its limitations and future advancement and developmental strategies. © Springer Nature Switzerland AG 2021.