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Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
Ken Asada1,2, Masaaki Komatsu1,2, Ryo Shimoyama1,2
1Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
Insights
Artificial intelligence (AI) is revolutionizing COVID-19 research, aiding in medical imaging, drug discovery, and vaccine development. This technology offers significant advantages in combating the pandemic and guiding future public health strategies.
Area of Science:
- Medical research
- Artificial Intelligence
- Epidemiology
Background:
- The COVID-19 pandemic has caused widespread infections and deaths globally since its emergence in late 2019.
- Artificial intelligence (AI) applications have rapidly expanded across various fields, including significant contributions to medical research.
- AI has demonstrated success in disease classification, detection, prediction, and patient outcome analysis.
Purpose of the Study:
- To review recent studies utilizing AI in COVID-19 research.
- To highlight AI applications in medical imaging, drug discovery, vaccine development, and public health decision-making.
- To clarify the benefits of AI in combating COVID-19 and suggest future research directions.
Main Methods:
- Literature review of recent studies on AI in COVID-19 research.
- Analysis of AI applications in medical imaging for diagnosis.
- Examination of AI's role in accelerating drug discovery and vaccine development.
Main Results:
- AI is actively employed in COVID-19 research, with successful clinical applications in diagnosis.
- AI contributes to medical imaging analysis, drug discovery, and therapeutic development, including vaccines.
- AI supports public health decision-making strategies for pandemic management.
Conclusions:
- AI offers significant advantages in the fight against the COVID-19 pandemic.
- AI techniques are crucial for advancing medical research and public health responses.
- Future research should focus on leveraging AI for comprehensive pandemic control and prevention.
Abstract:
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech companies, but also researchers, have directed their efforts toward overcoming this threat. The use of artificial intelligence (AI) has recently surged internationally and has been applied to diverse aspects of many problems. The benefits of using AI are now widely accepted, and many studies have shown great success in medical research on tasks, such as the classification, detection, and prediction of disease, or even patient outcome. In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been reported. Hence, in this review, we summarize the latest studies that focus on medical imaging analysis, drug discovery, and therapeutics such as vaccine development and public health decision-making using AI. This survey clarifies the advantages of using AI in the fight against COVID-19 and provides future directions for tackling the COVID-19 pandemic using AI techniques.
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