SAI-BA-IoMT: Secure AI-Based Blockchain-Assisted Internet of Medical Things Tool to Moderate the Outbreak of COVID-19 Crisis

Kumar, Mahender; Rani, Ruby

Recently, an infectious disease, coronavirus disease 2019 (COVID-19), has been reported in Wuhan, China, and subsequently spread worldwide within a couple of months. On May 16, 2020, the COVID-19 pandemic has affected several countries in the world. In this article, we present how the amalgamation of blockchain, cryptography, internet of medical things (IoMT), and artificial intelligence (AI) technologies can address such an issue in the event of the COVID-19 pandemic. Further, we propose a secure AI-based blockchain-assisted IoMT (SAI-BA-IoMT) model for the healthcare system in the COVID-19 crisis. The paper also examines the post-corona crisis that the world could be experienced after the pandemic. Additionally, we exhibit the potential applications of the proposed model to resolve the difficulties originated from coronavirus.