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大数据和人工智能在中国 COVID-19 预防、诊断、治疗和管理决策中的应用。

Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

机构信息

Medical Big Data Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Department of Medical Informatics, Medical School of Nantong University, Nantong, China.

出版信息

J Med Syst. 2021 Jul 24;45(9):84. doi: 10.1007/s10916-021-01757-0.


DOI:10.1007/s10916-021-01757-0
PMID:34302549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8308073/
Abstract

COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden public health events and epidemic prevention and control in all countries. In the face of the severe situation of epidemic prevention and control and the arduous task of social management, the tremendous power of science and technology in prevention and control has emerged. The new generation of information technology, represented by big data and artificial intelligence (AI) technology, has been widely used in the prevention, diagnosis, treatment and management of COVID-19 as an important basic support. Although the technology has developed, there are still challenges with respect to epidemic surveillance, accurate prevention and control, effective diagnosis and treatment, and timely judgement. The prevention and control of sudden infectious diseases usually depend on the control of infection sources, interruption of transmission channels and vaccine development. Big data and AI are effective technologies to identify the source of infection and have an irreplaceable role in distinguishing close contacts and suspicious populations. Advanced computational analysis is beneficial to accelerate the speed of vaccine research and development and to improve the quality of vaccines. AI provides support in automatically processing relevant data from medical images and clinical features, tests and examination findings; predicting disease progression and prognosis; and even recommending treatment plans and strategies. This paper reviews the application of big data and AI in the COVID-19 prevention, diagnosis, treatment and management decisions in China to explain how to apply big data and AI technology to address the common problems in the COVID-19 pandemic. Although the findings regarding the application of big data and AI technologies in sudden public health events lack validation of repeatability and universality, current studies in China have shown that the application of big data and AI is feasible in response to the COVID-19 pandemic. These studies concluded that the application of big data and AI technology can contribute to prevention, diagnosis, treatment and management decision making regarding sudden public health events in the future.

摘要

新型冠状病毒肺炎(COVID-19)由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起,自 2019 年在中国武汉爆发以来迅速传播,影响了世界大部分地区,这对各国突发公共卫生事件应急响应机制和疫情防控提出了重大挑战。在疫情防控形势严峻、社会管理任务艰巨的情况下,科技防控力量凸显。以大数据和人工智能(AI)技术为代表的新一代信息技术在 COVID-19 的预防、诊断、治疗和管理中得到广泛应用,成为重要的基础支撑。虽然技术不断发展,但在疫情监测、精准防控、有效诊断治疗、及时判断等方面仍存在挑战。突发传染病的防控通常依赖于传染源的控制、传播途径的阻断和疫苗的开发。大数据和 AI 是识别传染源的有效技术,在区分密切接触者和可疑人群方面具有不可替代的作用。先进的计算分析有助于加快疫苗研究和开发的速度,并提高疫苗的质量。AI 为自动处理来自医学图像和临床特征、检测和检查结果的相关数据提供支持,有助于预测疾病的进展和预后,甚至可以推荐治疗计划和策略。本文综述了大数据和 AI 在我国 COVID-19 预防、诊断、治疗和管理决策中的应用,阐述了如何应用大数据和 AI 技术解决 COVID-19 疫情中的常见问题。虽然大数据和 AI 技术在突发公共卫生事件中的应用研究结果缺乏可重复性和普遍性的验证,但目前我国的研究表明,大数据和 AI 的应用在应对 COVID-19 疫情方面是可行的。这些研究得出结论,大数据和 AI 技术的应用可以为未来突发公共卫生事件的预防、诊断、治疗和管理决策提供帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/5e638f5f7be4/10916_2021_1757_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/de17274c3f36/10916_2021_1757_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/69c9a38948a2/10916_2021_1757_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/5e638f5f7be4/10916_2021_1757_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/de17274c3f36/10916_2021_1757_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/69c9a38948a2/10916_2021_1757_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e3f/8310500/5e638f5f7be4/10916_2021_1757_Fig3_HTML.jpg

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[7]
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[10]
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本文引用的文献

[1]
The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) - China, 2020.

China CDC Wkly. 2020-2-21

[2]
DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Radiology. 2021-4

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Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020-10

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Glycyrrhizic acid exerts inhibitory activity against the spike protein of SARS-CoV-2.

Phytomedicine. 2021-5

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BMC Infect Dis. 2020-9-29

[10]
Artificial intelligence in COVID-19 drug repurposing.

Lancet Digit Health. 2020-9-18

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