期刊
JOURNAL OF CLINICAL MEDICINE
卷 10, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/jcm10091961
关键词
machine learning; deep learning; COVID-19; coronavirus; artificial intelligence
资金
- Ministry of Education (MOE) [MOE 109-6604-001-400, DP2-109-21121-01-A-01]
- Ministry of Science and Technology (MOST) [MOST 109-2823-8-038-004]
Artificial intelligence (AI) has shown significant potential in combating COVID-19 through the analysis of digital images, clinical data, and laboratory data. The study surveyed the use of AI for tasks such as detection, diagnosis, and drug repurposing related to COVID-19, highlighting both the achievements and challenges in this area. This paper provides a technical overview of AI models used in the fight against the COVID-19 pandemic, concluding with a brief discussion on the current state-of-the-art, limitations, and challenges.
Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI's role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.
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