Selected article for: "combined analysis and database literature"

Author: Raval, C. U.; Vaghela, P.; Budhrani, A.; Kevadiya, R. V.
Title: Applications of Artificial Intelligence in the Context of Challenges Amid COVID-19
  • Cord-id: w1gn5yq7
  • Document date: 2022_1_1
  • ID: w1gn5yq7
    Snippet: Objectives: The aim is to study the potential contribution of AI technologies and tools to all aspects of the COVID-19 crisis response. Methods: The research puts together the combined perspectives of rapid analysis of the literature conducted on the Google Scholar, Scopus, and PubMed database using the artificial intelligence or AI and COVID-19 or Coronavirus keyword. Findings: In this research, we have gathered the latest AI information for COVID-19 and then evaluated it to identify its possib
    Document: Objectives: The aim is to study the potential contribution of AI technologies and tools to all aspects of the COVID-19 crisis response. Methods: The research puts together the combined perspectives of rapid analysis of the literature conducted on the Google Scholar, Scopus, and PubMed database using the artificial intelligence or AI and COVID-19 or Coronavirus keyword. Findings: In this research, we have gathered the latest AI information for COVID-19 and then evaluated it to identify its possible applications to highlight substantial opportunities, challenges and research directions agendas resulting from the rapid introduction of AI in a number of areas: health care, psychiatry, education, packaging industry, data and network security, and Business-to-Business (B2B) Marketing Industry during COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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