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Artificial intelligence (AI) played a crucial role in combating the COVID-19 pandemic, but systematic evaluation of its performance, gaps, and future potential is needed. This review examines AI

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Area of Science:

  • Artificial Intelligence
  • Epidemiology
  • Public Health

Background:

  • The COVID-19 pandemic necessitated rapid advancements and applications of Artificial Intelligence (AI) across various sectors.
  • AI tools were deployed for tasks including disease surveillance, drug discovery, and healthcare management.
  • Significant global efforts were made by the AI community to mitigate the pandemic's impact.

Discussion:

  • This article critically reviews the multifaceted roles of AI in addressing the COVID-19 pandemic.
  • It analyzes AI's performance, identifies existing gaps, and explores opportunities for improvement in pandemic response.
  • Key questions regarding AI's effectiveness and limitations in combating infectious diseases are addressed.

Key Insights:

  • AI demonstrated potential in accelerating research, diagnostics, and resource allocation during the pandemic.
  • However, challenges related to data accessibility, ethical considerations, and equitable deployment were encountered.
  • A systematic understanding of AI's contributions and limitations is essential for future preparedness.

Outlook:

  • The development of specialized "pandemic AI" is projected to increase in importance and demand.
  • Future efforts should focus on creating intelligent global epidemic early warning systems through collaborative AI initiatives.
  • Lessons learned from COVID-19 will enhance AI's capacity to combat future pandemics effectively.