The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.
作者信息
Long Justin B, Ehrenfeld Jesse M
机构信息
Children's Healthcare of Atlanta at Egleston, Emory University, Atlanta, GA, USA.
Advancing a Healthier Wisconsin Endowment, Medical College of Wisconsin, Milwaukee, WI, USA.
出版信息
J Med Syst. 2020 Feb 4;44(3):59. doi: 10.1007/s10916-020-1536-6.
Abstract
摘要
相似文献
1
The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.增强智能（AI）在新型冠状病毒检测与防控中的作用
J Med Syst. 2020 Feb 4;44(3):59. doi: 10.1007/s10916-020-1536-6.
2
How could artificial intelligence aid in the fight against coronavirus?人工智能如何助力抗击新冠病毒？
Expert Rev Anti Infect Ther. 2020 Jun;18(6):493-497. doi: 10.1080/14787210.2020.1744275. Epub 2020 Mar 29.
3
A Community Letter Regarding Sharing Biomolecular Simulation Data for COVID-19.一封关于共享新冠病毒生物分子模拟数据的社区信件。
J Chem Inf Model. 2020 Jun 22;60(6):2653-2656. doi: 10.1021/acs.jcim.0c00319. Epub 2020 May 1.
4
Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.人工智能技术诊断 COVID-19 病例：重大问题综述。
Eur Rev Med Pharmacol Sci. 2020 Sep;24(17):9226-9233. doi: 10.26355/eurrev_202009_22875.
5
Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review.基于人工智能和智能物联网预防COVID-19传播的方法：范围综述
J Med Internet Res. 2020 Aug 10;22(8):e19104. doi: 10.2196/19104.
6
Artificial Intelligence for COVID-19: Rapid Review.用于新冠肺炎的人工智能：快速综述
J Med Internet Res. 2020 Oct 27;22(10):e21476. doi: 10.2196/21476.
7
[Airborne spread of coronavirus in critical coronavirus disease 2019 patients with different oxygen therapies].[2019年冠状病毒病重症患者不同氧疗方式下冠状病毒的空气传播]
Zhonghua Nei Ke Za Zhi. 2020 Sep 1;59(9):664-666. doi: 10.3760/cma.j.cn112138-20200318-00254.
8
Can AI help in the fight against COVID-19?人工智能能助力抗击新冠疫情吗？
Med J Aust. 2020 Nov;213(10):439-441.e2. doi: 10.5694/mja2.50821. Epub 2020 Oct 28.
9
Coronaviruses and SARS-CoV-2: A Brief Overview.冠状病毒和 SARS-CoV-2：简要概述。
Anesth Analg. 2020 Jul;131(1):93-96. doi: 10.1213/ANE.0000000000004845.
10
Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.探索人工智能和机器学习对抗COVID-19的潜力以及低收入和中等收入国家的现有机会：一项范围综述。
J Prim Care Community Health. 2020 Jan-Dec;11:2150132720963634. doi: 10.1177/2150132720963634.
引用本文的文献
1
Exploring the Views of Young People, Including Those With a History of Self-Harm, on the Use of Their Routinely Generated Data for Mental Health Research: Web-Based Cross-Sectional Survey Study.探索年轻人，包括有自残史的年轻人，对将其常规生成的数据用于心理健康研究的看法：基于网络的横断面调查研究。
JMIR Ment Health. 2025 Mar 12;12:e60649. doi: 10.2196/60649.
2
Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis.通过社交媒体追踪蚊媒疾病：一种用于主题建模和情感分析的机器学习方法。
PeerJ. 2024 Mar 1;12:e17045. doi: 10.7717/peerj.17045. eCollection 2024.
3
Role of Imaging in Diagnosis and Management of COVID-19: Evidence-Based Approaches.影像学在 COVID-19 诊断和管理中的作用：循证方法。
Adv Exp Med Biol. 2024;1457:237-246. doi: 10.1007/978-3-031-61939-7_13.
4
Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier Analysis.利用异常值分析的妊娠高血压疾病临床发现增强智能技术
Cureus. 2023 Mar 30;15(3):e36909. doi: 10.7759/cureus.36909. eCollection 2023 Mar.
5
COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled.新冠病毒-人工智能、机器学习和深度学习的作用：一种新奇事物
Arch Comput Methods Eng. 2023;30(4):2667-2682. doi: 10.1007/s11831-023-09882-4. Epub 2023 Jan 17.
6
Prognosis of COVID-19 patients using lab tests: A data mining approach.利用实验室检测评估新冠病毒疾病患者的预后：一种数据挖掘方法。
Health Sci Rep. 2023 Jan 8;6(1):e1049. doi: 10.1002/hsr2.1049. eCollection 2023 Jan.
7
The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis.人工智能在应对新冠疫情中的能力：基于新冠病毒筛查与诊断的综述
Diagnostics (Basel). 2022 Nov 25;12(12):2943. doi: 10.3390/diagnostics12122943.
8
Determining the efficiency of data analysis systems in predicting COVID-19 infected cases.确定数据分析系统在预测新冠病毒感染病例方面的效率。
J Family Med Prim Care. 2022 Jun;11(6):2405-2410. doi: 10.4103/jfmpc.jfmpc_1205_21. Epub 2022 Jun 30.
9
Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning.利用图论和深度学习分析救援方案中 COVID-19 的感染传播率。
Comput Math Methods Med. 2022 Aug 12;2022:8131193. doi: 10.1155/2022/8131193. eCollection 2022.
10
How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-)Spatialization.5G 如何助力新冠疫情防控：物质性、可供性与（去）空间化。
Int J Environ Res Public Health. 2022 Jul 23;19(15):8965. doi: 10.3390/ijerph19158965.
本文引用的文献
1
The Novel Coronavirus Originating in Wuhan, China: Challenges for Global Health Governance.源自中国武汉的新型冠状病毒：全球卫生治理面临的挑战
JAMA. 2020 Feb 25;323(8):709-710. doi: 10.1001/jama.2020.1097.
2
China coronavirus: what do we know so far?中国冠状病毒：到目前为止我们了解了什么？
BMJ. 2020 Jan 24;368:m308. doi: 10.1136/bmj.m308.
3
A Novel Coronavirus from Patients with Pneumonia in China, 2019.2019 年中国肺炎患者中的一种新型冠状病毒。
N Engl J Med. 2020 Feb 20;382(8):727-733. doi: 10.1056/NEJMoa2001017. Epub 2020 Jan 24.
4
Coronavirus Infections-More Than Just the Common Cold.冠状病毒感染——远不止是普通感冒。
JAMA. 2020 Feb 25;323(8):707-708. doi: 10.1001/jama.2020.0757.
5
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.基于迭代一周预测分布的季节性流感非机械预测。
PLoS Comput Biol. 2018 Jun 15;14(6):e1006134. doi: 10.1371/journal.pcbi.1006134. eCollection 2018 Jun.
6
Anticipating the international spread of Zika virus from Brazil.预测寨卡病毒从巴西向国际传播的情况。
Lancet. 2016 Jan 23;387(10016):335-336. doi: 10.1016/S0140-6736(16)00080-5. Epub 2016 Jan 15.
Zotero 插件