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Artificial Intelligence Applications to Tackle COVID-19

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Soft Computing and its Engineering Applications (icSoftComp 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1374))

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Abstract

The emergence of COVID-19 with grey areas about the cure and spread of the infection is a significant challenge for the 21st century world. The COVID-19 pandemic has prodigious consequences on human lives and the healthcare industry is constantly seeking support from modern decisive technology such as Artificial Intelligence (AI) to tackle this rapidly spreading pandemic. AI mimicking human intelligence plays a crucial role to predict and track patients, helps to analyze data for various aspects, including medical image processing, drug and vaccine development, and prediction and forecast of this disease. The present study aims to review the potentialities of Artificial Intelligence to diagnose COVID-19 cases and analyze the database to assess it for prevention and combat against COVID-19. We can extract the new insights in drug discovery through deep learning AI algorithms to speed up the process of drug and vaccine development. AI thus acts as a potential tool to quell COVID-19. Besides, this article provides the finest review of the contribution of AI and constraints to its impact against COVID-19. The potentiality of AI must be mobilized to tackle COVID-19 that is crucial in saving human lives and restricts the damages to the world’s economy.

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Authors and Affiliations

  1. Pandit Deendayal Petroleum University, Gandhinagar, 382007, India

    Devansh Shah & Santosh Kumar Bharti

Authors
  1. Devansh Shah
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  2. Santosh Kumar Bharti
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Corresponding author

Correspondence to Devansh Shah .

Editor information

Editors and Affiliations

  1. Charotar University of Science and Technology, Changa, Anand, Gujarat, India

    Kanubhai K. Patel

  2. Bennett University, Greater Noida, Uttar Pradesh, India

    Deepak Garg

  3. Charotar University of Science and Technology, Changa, Anand, Gujarat, India

    Atul Patel

  4. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

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Shah, D., Bharti, S.K. (2021). Artificial Intelligence Applications to Tackle COVID-19. In: Patel, K.K., Garg, D., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2020. Communications in Computer and Information Science, vol 1374. Springer, Singapore. https://doi.org/10.1007/978-981-16-0708-0_22

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  • DOI: https://doi.org/10.1007/978-981-16-0708-0_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0707-3

  • Online ISBN: 978-981-16-0708-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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