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A Review on AI-Based Techniques for Tackling COVID-19

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Cyber Security in Intelligent Computing and Communications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1007))

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Abstract

Corona virus has affected the lives of people significantly due to its very high transmission rate. It is a serious threat to human beings. Therefore, it has become quite a challenge for governments, companies, researchers, and other health organizations for developing policies to reduce the effects of corona virus and developing its cure as soon as possible. Technologies, particularly artificial intelligence (AI), are playing a vital role in managing COVID-19 as it is capable of rapidly processing a large amount of data and analyzing it in no time. AI-based techniques such as machine learning, deep learning, etc. are being actively used by several nations for fighting against COVID-19. These techniques are already being used for diagnosing patients, drug discovery, awareness, training of doctors and support staff, etc. The aim of this study is to survey the available literature and present the role of AI in tackling COVID-19 all around the world. Further, it discusses various applications of AI such as diagnosing patients, tracking, monitoring patient’s health, discovering drugs, spreading awareness, etc. for fighting against the pandemic, and this study also identifies the approaches that are currently being proposed by the researcher for diagnosing COVID-19 patients using CT and X-ray images.

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Author information

Authors and Affiliations

  1. Mangalmay Institute of Engineering and Technology, Greater Noida, India

    Taranjeet Singh

  2. ABES Institute of Technology, Ghaziabad, India

    Rijwan Khan

  3. GL Bajaj Institute of Technology & Management, Greater Noida, India

    Sandeep Srivastava

Authors
  1. Taranjeet Singh
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  2. Rijwan Khan
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  3. Sandeep Srivastava
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Editor information

Editors and Affiliations

  1. GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

    Rajeev Agrawal

  2. Kennesaw State University, Kennesaw, GA, USA

    Jing He

  3. Malaviya National Institute of Technology (MNIT), Jaipur, India

    Emmanuel Shubhakar Pilli

  4. Department of Master of Computer Applications, GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

    Sanjeev Kumar

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Singh, T., Khan, R., Srivastava, S. (2022). A Review on AI-Based Techniques for Tackling COVID-19. In: Agrawal, R., He, J., Shubhakar Pilli, E., Kumar, S. (eds) Cyber Security in Intelligent Computing and Communications. Studies in Computational Intelligence, vol 1007. Springer, Singapore. https://doi.org/10.1007/978-981-16-8012-0_25

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  • DOI: https://doi.org/10.1007/978-981-16-8012-0_25

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