Suppr超能文献

利用人工智能技术抗击新冠疫情:综述

Using artificial intelligence technology to fight COVID-19: a review.

作者信息

Peng Yong, Liu Enbin, Peng Shanbi, Chen Qikun, Li Dangjian, Lian Dianpeng

机构信息

Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500 China.

School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500 China.

出版信息

Artif Intell Rev. 2022;55(6):4941-4977. doi: 10.1007/s10462-021-10106-z. Epub 2022 Jan 3.

Abstract

In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.

摘要

2019年12月下旬,发现了一种新型冠状病毒,该病毒后来被命名为严重急性呼吸综合征冠状病毒2(SARS-CoV-2)。自发现以来,该病毒已在全球传播,截至2021年4月15日已造成2975875人死亡,并对我们的卫生系统和经济产生了巨大影响。如何抑制新冠肺炎的持续传播是许多科学家和研究人员的主要任务。人工智能技术的引入为抑制新型冠状病毒做出了巨大贡献。本文通过大量文献研究,从识别、预测和研发三个主要方面探讨了人工智能技术在抑制冠状病毒方面的主要应用,并提出了当前面临的主要挑战和可能的发展方向。结果表明,将人工智能技术与多种新技术相结合来预测和识别新冠肺炎患者是一种有效的措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fcfa/8720541/9d647c7f03e4/10462_2021_10106_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验