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Artificial intelligence-based approaches for COVID-19 patient management.
1Department of Radiology, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuchang District, Wuhan, Hunan 430071, China.
Intelligent Medicine
|August 27, 2021
Summary
Artificial intelligence (AI) aids in managing coronavirus disease 2019 (COVID-19) patient care, from forecasting to treatment. While AI shows promise, challenges remain, necessitating further development in AI applications for public health crises.
Area of Science:
- Medical Informatics
- Public Health
- Artificial Intelligence
Background:
- The coronavirus disease 2019 (COVID-19) pandemic presented unprecedented public health challenges.
- Artificial intelligence (AI) emerged as a critical tool to support various aspects of pandemic response.
Purpose of the Study:
- To review the current applications of AI in patient management during the COVID-19 pandemic.
- To identify existing limitations and future directions for AI in healthcare during infectious disease outbreaks.
Main Methods:
- Literature review of AI-based patient management strategies for COVID-19.
- Analysis of AI applications across different stages of patient care.
Main Results:
- AI has been utilized in outbreak forecasting, diagnosis, treatment recommendations, and resource allocation for COVID-19 patients.
- Specific AI techniques show potential in improving patient outcomes and healthcare efficiency.
Conclusions:
- AI offers significant support for patient management during pandemics like COVID-19.
- Addressing current limitations and investing in further research are crucial for optimizing AI's role in future public health crises.
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