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Intelligent Trust-based Artificial Intelligence for Identification of COVID-19
NeuroQuantology ; 20(9):4767-4776, 2022.
Article in English | EMBASE | ID: covidwho-2067295
ABSTRACT
AI has the potential to be a highly effective weapon in combating the COVID-19 virus. Since the outbreak began, many individuals have expressed a desire to employ AI, and they want it done as soon as possible. This article provides an early, and inevitably biased, look at how artificial intelligence may aid in the battle against COVID-19, as well as the existing limitations. AI might be effective in the battle against COVID-19 in a variety of ways, including early warnings and alarms, monitoring and prediction, data dashboards, diagnosis and prognosis, medicines and cures, and social control. AI might also be utilized in the following six ways COVID-19 has yet to be affected by AI. Its use is constrained by both a scarcity of data and an abundance of data. To overcome these constraints, it will be necessary to strike a balance between data privacy and public health, as well as engage in extensive human-AI interaction. These issues will not be resolved in time for the present pandemic to be alleviated. Meanwhile, a large amount of data regarding who is infectious will need to be collected in order to save lives, train AI, and protect companies from losing money. Copyright © 2022, Anka Publishers. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article