4.7 Review

A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

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

  1. Ministry of Education (MOE) [MOE 109-6604-001-400, DP2-109-21121-01-A-01]
  2. Ministry of Science and Technology (MOST) [MOST 109-2823-8-038-004]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据