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Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey

Topics: Analytics, Intelligence and Knowledge Engineering; Architecture for secure and interactive IoT; Artificial Intelligence; Communication; Data Processing ; Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services; Healthcare Services, Health Informatics and Biological Research of the Pandemic; Internet of Things; IoT Services and Applications; Sensor Networks, Remote Diagnosis and Development; Sensors; Smart City and Transportation; Smart City Examples and Case Studies; Systems for IoT and Services Computing; Technological focus for Smart Environments; Zigbee

Authors: Venkatesh K. Pappakrishnan 1 ; R. Mythili 2 ; V. Kavitha 2 and N. Parthiban 2

Affiliations: 1 Palo Alto Networks, CA, U.S.A. ; 2 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India

Keyword(s): AIoT, Healthcare 4.0, COVID-19, IoT, AI, Smart Healthcare.

Abstract: Digital twins, Internet of Things (IoT) and Artificial Intelligence (AI), plays a proactive role in numerous ways during a pandemic such as COVID-19 by allowing us to make informed decisions using real-time data. According to World Health Organization (WHO), COVID-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that predominantly spreads through body fluids, leading to a mild-to-severe respiratory illness. Considering the global health crisis due to COVID-19 and novelty of the SARS-CoV-2 virus due diligence is required in vaccine preparation and human trials. At the early stages of the pandemic, due to lack of complete knowledge on the virus, there are two main objectives: (1) treat patients as effectively as possible and (2) control the spread of the disease. IoT devices in healthcare empower the healthcare industry in identifying potential carriers of COVID-19 and quarantine. Even though IoT plays a major role in healthcare 4.0, de cision making capabilities are limited due to the type of the algorithms and decision making paradigms used. Using AI, we will be able to identify critical medical conditions earlier and take necessary steps. Artificial Intelligence of Things (AIoT) implementation has the potential to greatly reduce the mortality rate allowing us in early identification of high-risk patients, monitoring the spread of the disease, methods to limit the spread, predict mortality risk by analyzing patient’s health history, remote or in-home treatments to reduce hospital occupancy, and other techniques to significantly control the spread and treat the patients effectively. (More)

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Paper citation in several formats:
Pappakrishnan, V.; Mythili, R.; Kavitha, V. and Parthiban, N. (2021). Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-504-3; ISSN 2184-4976, SciTePress, pages 229-236. DOI: 10.5220/0010461502290236

@conference{iotbds21,
author={Venkatesh K. Pappakrishnan. and R. Mythili. and V. Kavitha. and N. Parthiban.},
title={Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2021},
pages={229-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010461502290236},
isbn={978-989-758-504-3},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey
SN - 978-989-758-504-3
IS - 2184-4976
AU - Pappakrishnan, V.
AU - Mythili, R.
AU - Kavitha, V.
AU - Parthiban, N.
PY - 2021
SP - 229
EP - 236
DO - 10.5220/0010461502290236
PB - SciTePress