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phat 23(1):

Research Article

Detection of Covid-19 Using AI Application

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  • @ARTICLE{10.4108/eetpht.9.3349,
        author={Kishore Kanna Ravikumar and Mohammed Ishaque and Bhawani Sankar Panigrahi and Chimaya Ranjan Pattnaik},
        title={Detection of Covid-19 Using AI Application},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={9},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2023},
        month={6},
        keywords={Artificial Intelligence, Computed Tomography (CT), Corona virus, Contagious, RT-PCR},
        doi={10.4108/eetpht.9.3349}
    }
    
  • Kishore Kanna Ravikumar
    Mohammed Ishaque
    Bhawani Sankar Panigrahi
    Chimaya Ranjan Pattnaik
    Year: 2023
    Detection of Covid-19 Using AI Application
    PHAT
    EAI
    DOI: 10.4108/eetpht.9.3349
Kishore Kanna Ravikumar1,*, Mohammed Ishaque2, Bhawani Sankar Panigrahi3, Chimaya Ranjan Pattnaik4
  • 1: Department of Biomedical Engineering, Vels Institute of Science Technology and Advanced Studies
  • 2: Department of Computer Science and Information Technology, Jeddah International College, Saudi Arabia
  • 3: Vardhaman College of Engineering
  • 4: Department of Computer Science & Engineering, Ajay Binay Institute of Technology, Cuttack, India
*Contact email: kishorekanna007@gmail.com

Abstract

INTRODUCTION: In December of 2019, the infection which caused the pandemic started in the Hubei territory of Wuhan, China. They were identified as SARS-CoV-2, a highly infectious, easily transmissible virus that has caused an increasing number of deaths worldwide. Covid can be perceived with a testing strategy known as RT-PCR. As of now, this technique is broadly utilized for identifying the infection. OBJECTIVES: The imaging modalities are utilized for various degrees of seriousness from asymptomatic to basic cases. Side effects of an individual contaminated with COVID-19 incorporate gentle hack, fever, chest torment, weakness, and so forth An individual with an extremefundamental ailment requires basic consideration. Imaging has assumed a larger part during the flare-up, with CT being a better option than invert transcriptase-polymerase chain response testing. METHODS: With artificial intelligence and robotics, a variety of devices and solutions have been introduced to improve contactless service forhumans. The presentation of AI technology may be a distinct advantage for the contactless treatment of patients. Information technology and AI could solve the testing and tracking system without any human interaction. RESULTS: CT imaging methods permit radiologists and doctors to distinguish inner structures and see their shape, size, thickness, and surface,which could help in the early discovery of asymptomatic cases. CONCLUSION: This detailed information data can be utilized to decide whether there's a clinical issue, provide the extent and accurate area of the matter, and uncover other significant details which will assist the doctor with deciding the best treatment.

Keywords
Artificial Intelligence, Computed Tomography (CT), Corona virus, Contagious, RT-PCR
Received
2023-02-15
Accepted
2023-04-20
Published
2023-06-28
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.9.3349

Copyright © 2023 R. Kishore Kanna et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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