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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 3, 2020
Date Accepted: Jun 25, 2020
Date Submitted to PubMed: Jun 25, 2020

The final, peer-reviewed published version of this preprint can be found here:

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

Adly AS, Adly AS, Adly MS

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

J Med Internet Res 2020;22(8):e19104

DOI: 10.2196/19104

PMID: 32584780

PMCID: 7423390

Can Artificial Intelligence and Internet be the Solution to Prevent the Exponential Spread of COVID-19?

  • Aya Sedky Adly; 
  • Afnan Sedky Adly; 
  • Mahmoud Sedky Adly

ABSTRACT

Artificial intelligence (AI) is the process of simulating human intelligence through computer systems. It aims for mimicking human knowledge, learning capacities, and thought processes. AI can have a promising role in prevention of the rapid terrifying spread of COVID-19. With the exponential increase in the number of COVID-19 patients, there is a high possibility that the physicians and health care workers will not be able to cover all of these cases. Thus, computer scientists should contribute in this struggle against COVID-19 by introducing more intelligent solutions to achieve a rapid control of the SARS-CoV-2 virus. This review gives a glimpse on the most recent AI approaches that are required in order to establish the best solutions for preventing the spread of COVID-19.


 Citation

Please cite as:

Adly AS, Adly AS, Adly MS

Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review

J Med Internet Res 2020;22(8):e19104

DOI: 10.2196/19104

PMID: 32584780

PMCID: 7423390

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