AI based Clinical Analysis of COVID-19 Infected Patients

Abstract

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is an unknown beta coronavirus that comes under the B genus, which causes Coronavirus Disease 2019 (COVID-19), a declared universal epidemic, posing a serious menace to human health irrespective of the nationality. According to the World Health Organization (WHO) statistics, as of September 10, 2021, there were 223,022,539 positive cases of COVID-19 with 4,602,883 fatalities reported worldwide. A total of 5,352,927,297 vaccine doses have been facilitated since September 5, 2021. This pandemic has become a ravaging illness because of its highly contractible nature and mutations. Many types of research in diverse fields of science have been initiated to suppress the effects and manage the havoc. Artificial Intelligence (AI) is classified as a subdomain of science, which most certainly contributed to numerous applications in confronting the present state at a broader level. In this chapter, we have tried to explore state-of-the-art AI techniques implemented in the perspective of COVID-19 across multiple subjects of concern. The AI approaches are utilized in the treatment, diagnosis, prediction of recovery, severity and mortality of patients, chest X-Ray and computed tomography-based analysis, pandemic prediction, its control and management, pharmaceutical research, COVID-19 text corpus processing, and virus apprehension. Thus, the comprehension of various applications is meant to enlighten the status of AI in this pandemonium. Finally, we conclude with some suggestions and remarks to tackle the disaster in an improved way.