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Artificial intelligence and COVID-19: Present state and future vision
1The Sharon Disney Lund, Medical Intelligence and Innovation Institute (MI3), Children's Hospital of Orange County, USA.
Intelligence-Based Medicine
|November 16, 2020
Summary
The COVID-19 pandemic highlighted gaps in data and artificial intelligence (AI) use. This study explores AI
Area of Science:
- Global Health
- Artificial Intelligence
- Epidemiology
Background:
- The COVID-19 pandemic caused significant mortality and exposed limitations in data analytics and AI.
- Effective pandemic response requires a strong understanding of global health principles.
Purpose of the Study:
- To provide a foundational understanding of global health concepts relevant to pandemics.
- To examine the role of artificial intelligence in pandemic diagnosis, therapy, and future response strategies.
Main Methods:
- Literature review of global health concepts.
- Analysis of AI applications in disease diagnosis and treatment.
- Exploration of AI deployment models for pandemic scenarios.
Main Results:
- AI has the potential to significantly enhance pandemic preparedness and response.
- Integration of AI in diagnosis and therapy can improve patient outcomes.
- A strategic deployment framework for AI in pandemics is crucial.
Conclusions:
- Lessons learned from COVID-19 emphasize the need for advanced data and AI integration in global health.
- Future pandemic preparedness should prioritize the development and ethical deployment of AI tools.
- Continued research and collaboration are essential for optimizing AI's role in combating global health crises.
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