Convergence model of AI and IoT for virus disease control system.

Personal and Ubiquitous Computing
Sungho Sim, Myeongyun Cho

Abstract

Recently, virus diseases, such as SARS-CoV, MERS-CoV, and COVID-19, continue to emerge and pose a severe public health problem. These diseases threaten the lives of many people and cause serious social and economic losses. Recent developments in information technology (IT) and connectivity have led to the emergence of Internet of Things (IoT) and Artificial Intelligence (AI) applications in many industries. These industries, where IoT and AI together are making significant impacts, are the healthcare and the diagnosis department. In addition, by actively communicating with smart devices and various biometric sensors, it is expanding its application fields to telemedicine, healthcare, and disease prevention. Even though existing IoT and AI technologies can enhance disease detection, monitoring, and quarantine, their impact is very limited because they are not integrated or applied rapidly to the emergence of a sudden epidemic. Especially in the situation where infectious diseases are rapidly spreading, the conventional methods fail to prevent large-scale infections and block global spreads through prediction, resulting in great loss of lives. Therefore, in this paper, various sources of infection information with local limitatio...Continue Reading

References

Jan 17, 2020·Nature·Andrew W SeniorDemis Hassabis
Feb 12, 2020·Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine·Sarah BerryhillSairam Parthasarathy

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