Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks.
作者信息
Williams Christina M, Chaturvedi Rahul, Urman Richard D, Waterman Ruth S, Gabriel Rodney A
机构信息
Trinity College of Arts & Sciences, Duke University, Durham, NC, USA.
School of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA.
出版信息
J Med Syst. 2021 Jan 18;45(3):26. doi: 10.1007/s10916-021-01705-y.
Abstract
摘要
相似文献
1
Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks.人工智能与大流行：潜在用途及弊端分析
J Med Syst. 2021 Jan 18;45(3):26. doi: 10.1007/s10916-021-01705-y.
2
COVID-19 pandemic and artificial intelligence: challenges of ethical bias and trustworthy reliable reproducibility?新冠疫情与人工智能：道德偏见及可信可靠的可重复性挑战？
BMJ Health Care Inform. 2021 Oct;28(1). doi: 10.1136/bmjhci-2021-100438.
3
Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review.利用人工智能预测 COVID-19 结局：范围综述。
Stud Health Technol Inform. 2022 Jan 14;289:317-320. doi: 10.3233/SHTI210923.
4
[Pandemic, artificial intelligence... : medical biology in constant (r)evolution!].[大流行、人工智能……：不断（重新）演变的医学生物学！]
Ann Biol Clin (Paris). 2021 Oct 1;79(5):405-406. doi: 10.1684/abc.2021.1681.
5
Integrating artificial intelligence in bedside care for covid-19 and future pandemics.将人工智能融入新冠疫情和未来大流行的床边护理中。
BMJ. 2021 Dec 31;375:e068197. doi: 10.1136/bmj-2021-068197.
6
How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic.人工智能和新技术如何助力新冠疫情管理
Int J Environ Res Public Health. 2021 Jul 19;18(14):7648. doi: 10.3390/ijerph18147648.
7
Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review.人工智能在 COVID-19 大流行期间的应用：综述。
J Med Syst. 2020 Aug 1;44(9):156. doi: 10.1007/s10916-020-01617-3.
8
Emergence of New Disease: How Can Artificial Intelligence Help?新发疾病的出现：人工智能如何提供帮助？
Trends Mol Med. 2020 Jul;26(7):627-629. doi: 10.1016/j.molmed.2020.04.007. Epub 2020 May 3.
9
How artificial intelligence (AI) could have helped our medical education during the COVID-19 pandemic - A student's perspective.人工智能（AI）在新冠疫情期间如何助力医学教育——一名学生的视角
Med Teach. 2020 Nov;42(11):1315-1316. doi: 10.1080/0142159X.2020.1798371. Epub 2020 Aug 5.
10
COVID-PA Bulletin: reports on artificial intelligence-based forecasting in coping with COVID-19 pandemic in the state of Pará, Brazil.COVID-PA 公报：巴西帕拉州利用人工智能进行新冠疫情预测的报告。
Epidemiol Serv Saude. 2021 Oct 29;30(4):e2021098. doi: 10.1590/S1679-49742021000400012. eCollection 2021.
引用本文的文献
1
The Role and Limitations of Artificial Intelligence in Combating Infectious Disease Outbreaks.人工智能在抗击传染病爆发中的作用与局限
Cureus. 2025 Jan 7;17(1):e77070. doi: 10.7759/cureus.77070. eCollection 2025 Jan.
2
A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV.一项关于设计基于人工智能和数据科学的策略以指导不同地方卫生生态系统对COVID-19作出公共卫生应对的混合方法研究：COLEV研究方案
F1000Res. 2022 Jun 22;11:691. doi: 10.12688/f1000research.110958.1. eCollection 2022.
3
Medicine and Pharmacy Students' Knowledge, Attitudes, and Practice regarding Artificial Intelligence Programs: Jordan and West Bank of Palestine.医学与药学专业学生对人工智能程序的知识、态度及实践情况：约旦及巴勒斯坦约旦河西岸地区
Adv Med Educ Pract. 2023 Dec 13;14:1391-1400. doi: 10.2147/AMEP.S433255. eCollection 2023.
4
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.美国公众对医疗保健领域人工智能认知的调查：系统综述。
J Med Internet Res. 2023 Apr 4;25:e40337. doi: 10.2196/40337.
5
Analysis: Flawed Datasets of Monkeypox Skin Images.分析：猴痘皮肤图像数据集的缺陷。
J Med Syst. 2023 Mar 18;47(1):37. doi: 10.1007/s10916-023-01928-1.
6
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests.基于血液检测的机器学习新冠病毒诊断中的域转移
J Med Syst. 2022 Mar 29;46(5):23. doi: 10.1007/s10916-022-01807-1.
本文引用的文献
1
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.COVID-Net：一种针对胸部 X 光图像中 COVID-19 病例检测的定制化深度卷积神经网络设计。
Sci Rep. 2020 Nov 11;10(1):19549. doi: 10.1038/s41598-020-76550-z.
2
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.
3
A review of modern technologies for tackling COVID-19 pandemic.应对新冠疫情的现代技术综述。
Diabetes Metab Syndr. 2020 Jul-Aug;14(4):569-573. doi: 10.1016/j.dsx.2020.05.008. Epub 2020 May 7.
4
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic.大数据和人工智能如何帮助更好地管理 COVID-19 大流行。
Int J Environ Res Public Health. 2020 May 2;17(9):3176. doi: 10.3390/ijerph17093176.
5
Artificial intelligence vs COVID-19: limitations, constraints and pitfalls.人工智能与新冠疫情：局限、限制与陷阱
AI Soc. 2020;35(3):761-765. doi: 10.1007/s00146-020-00978-0. Epub 2020 Apr 28.
6
From Containment to Mitigation of COVID-19 in the US.从美国对新冠疫情的遏制到缓解
JAMA. 2020 Apr 21;323(15):1441-1442. doi: 10.1001/jama.2020.3882.
7
Artificial intelligence in clinical and genomic diagnostics.人工智能在临床和基因组诊断中的应用。
Genome Med. 2019 Nov 19;11(1):70. doi: 10.1186/s13073-019-0689-8.
8
Do no harm: a roadmap for responsible machine learning for health care.《医疗保健负责任机器学习的路线图：不造成伤害》。
Nat Med. 2019 Sep;25(9):1337-1340. doi: 10.1038/s41591-019-0548-6. Epub 2019 Aug 19.
9
The potential for artificial intelligence in healthcare.人工智能在医疗保健领域的潜力。
Future Healthc J. 2019 Jun;6(2):94-98. doi: 10.7861/futurehosp.6-2-94.
10
Bias in Artificial Intelligence.人工智能中的偏差。
N C Med J. 2019 Jul-Aug;80(4):220-222. doi: 10.18043/ncm.80.4.220.
Zotero 插件