利用人工智能伦理应对新冠疫情。
Using AI ethically to tackle covid-19.
机构信息
Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK
Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK.
出版信息
BMJ. 2021 Mar 15;372:n364. doi: 10.1136/bmj.n364.
Abstract
Taking a principled approach is crucial to the successful use of AI in pandemic management, say
摘要
采取原则性方法对于成功地将人工智能应用于大流行病管理至关重要。
相似文献
1
Using AI ethically to tackle covid-19.利用人工智能伦理应对新冠疫情。
BMJ. 2021 Mar 15;372:n364. doi: 10.1136/bmj.n364.
2
AI, Machine Learning, and Ethics in Health Care.医疗保健中的人工智能、机器学习与伦理
J Leg Med. 2019 Oct-Dec;39(4):427-441. doi: 10.1080/01947648.2019.1690604.
3
Ethics of Artificial Intelligence in Breast Imaging.人工智能在乳腺成像中的伦理问题。
J Breast Imaging. 2023 Mar 20;5(2):195-200. doi: 10.1093/jbi/wbac076.
4
The Ethics of Relational AI - Expanding and Implementing the Belmont Principles.关系型人工智能的伦理——扩展与实施贝尔蒙原则
N Engl J Med. 2024 Jul 18;391(3):193-196. doi: 10.1056/NEJMp2314771. Epub 2024 Jul 13.
5
Ethics Implications of the Use of Artificial Intelligence in Violence Risk Assessment.人工智能在暴力风险评估中的使用所涉及的伦理问题。
J Am Acad Psychiatry Law. 2020 Sep;48(3):345-349. doi: 10.29158/JAAPL.003940-20. Epub 2020 May 14.
6
The conflict between autonomy and beneficence in medical ethics: proposal for a resolution.医学伦理学中自主性与行善原则之间的冲突：一种解决方案的提议。
J Contemp Health Law Policy. 1987 Spring;3:23-46.
7
Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.人工智能在耳鼻喉科应用中的伦理问题。
Otolaryngol Head Neck Surg. 2020 Jan;162(1):38-39. doi: 10.1177/0194599819889686. Epub 2019 Nov 26.
8
Ethics of artificial intelligence in dermatology.人工智能在皮肤病学中的伦理问题。
Clin Dermatol. 2024 May-Jun;42(3):313-316. doi: 10.1016/j.clindermatol.2024.02.003. Epub 2024 Feb 23.
9
COVID-19 and medical professionalism in a pandemic.2019冠状病毒病与大流行中的医学职业精神
Postgrad Med J. 2021 Jan;97(1143):53-54. doi: 10.1136/postgradmedj-2020-138344. Epub 2020 Oct 10.
10
Freedom and democracy in health care ethics: is the cart before the horse?医疗保健伦理中的自由与民主：本末倒置了吗？
Theor Med. 1996 Dec;17(4):399-414. doi: 10.1007/BF00489683.
引用本文的文献
1
Integrating Ethical Principles Into the Regulation of AI-Driven Medical Software.将伦理原则融入人工智能驱动的医疗软件监管之中。
Cureus. 2025 Feb 23;17(2):e79506. doi: 10.7759/cureus.79506. eCollection 2025 Feb.
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
Direct Detection of Glycated Human Serum Albumin and Hyperglycosylated IgG3 in Serum, by MALDI-ToF Mass Spectrometry, as a Predictor of COVID-19 Severity.通过基质辅助激光解吸电离飞行时间质谱法直接检测血清中糖化人血清白蛋白和高糖基化IgG3，作为COVID-19严重程度的预测指标。
Diagnostics (Basel). 2022 Oct 17;12(10):2521. doi: 10.3390/diagnostics12102521.
4
Data science in the intensive care unit.重症监护病房中的数据科学。
World J Crit Care Med. 2022 Sep 9;11(5):311-316. doi: 10.5492/wjccm.v11.i5.311.
5
Combining the advantages of AlexNet convolutional deep neural network optimized with anopheles search algorithm based feature extraction and random forest classifier for COVID-19 classification.结合基于按蚊搜索算法优化的特征提取的AlexNet卷积深度神经网络和用于COVID-19分类的随机森林分类器的优势。
Concurr Comput. 2022 Jul 10;34(15):e6958. doi: 10.1002/cpe.6958. Epub 2022 Apr 10.
6
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.
7
Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights.新冠疫情期间及之后的严谨政策制定：文献回顾与批判性洞察。
Int J Environ Res Public Health. 2021 Nov 26;18(23):12447. doi: 10.3390/ijerph182312447.
8
Tracking the amino acid changes of spike proteins across diverse host species of severe acute respiratory syndrome coronavirus 2.追踪严重急性呼吸综合征冠状病毒2在不同宿主物种间刺突蛋白的氨基酸变化。
iScience. 2022 Jan 21;25(1):103560. doi: 10.1016/j.isci.2021.103560. Epub 2021 Dec 2.
9
Digital Technology Application for Improved Responses to Health Care Challenges: Lessons Learned From COVID-19.数字技术应用提高应对医疗保健挑战的响应能力：从 COVID-19 中吸取的经验教训。
Can J Cardiol. 2022 Feb;38(2):279-291. doi: 10.1016/j.cjca.2021.11.014. Epub 2021 Dec 1.
10
From General Principles to Procedural Values: Responsible Digital Health Meets Public Health Ethics.从一般原则到程序价值：负责任的数字健康与公共卫生伦理相遇
Front Digit Health. 2021 Jul 2;3:690417. doi: 10.3389/fdgth.2021.690417. eCollection 2021.
本文引用的文献
1
COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings.仅使用咳嗽录音的COVID-19人工智能诊断
IEEE Open J Eng Med Biol. 2020 Sep 29;1:275-281. doi: 10.1109/OJEMB.2020.3026928. eCollection 2020.
2
Duty to Plan: Health Care, Crisis Standards of Care, and Novel Coronavirus SARS-CoV-2.规划职责：医疗保健、危机护理标准与新型冠状病毒SARS-CoV-2
NAM Perspect. 2020 Mar 5;2020. doi: 10.31478/202003b. eCollection 2020.
3
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.人工智能和机器学习如何助力医疗系统应对新冠疫情。
Mach Learn. 2021;110(1):1-14. doi: 10.1007/s10994-020-05928-x. Epub 2020 Dec 9.
4
Individual-Level Fatality Prediction of COVID-19 Patients Using AI Methods.利用人工智能方法预测 COVID-19 患者的个体病死率。
Front Public Health. 2020 Sep 30;8:587937. doi: 10.3389/fpubh.2020.587937. eCollection 2020.
5
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.翘曲速度的偏见：人工智能如何在 COVID-19 时代加剧差异鸿沟。
J Am Med Inform Assoc. 2021 Jan 15;28(1):190-192. doi: 10.1093/jamia/ocaa210.
6
AI Surveillance during Pandemics: Ethical Implementation Imperatives.人工智能在大流行期间的监测：伦理实施的必要条件。
Hastings Cent Rep. 2020 May;50(3):18-21. doi: 10.1002/hast.1125.
7
Ethics of instantaneous contact tracing using mobile phone apps in the control of the COVID-19 pandemic.利用手机应用程序进行即时接触者追踪以控制 COVID-19 大流行的伦理问题。
J Med Ethics. 2020 Jul;46(7):427-431. doi: 10.1136/medethics-2020-106314. Epub 2020 May 4.
8
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal.COVID-19 诊断和预后预测模型：系统评价和批判性评估。
BMJ. 2020 Apr 7;369:m1328. doi: 10.1136/bmj.m1328.
9
Can we trust AI not to further embed racial bias and prejudice?我们能相信人工智能不会进一步强化种族偏见吗？
BMJ. 2020 Feb 12;368:m363. doi: 10.1136/bmj.m363.
10
Clinical applications of machine learning algorithms: beyond the black box.机器学习算法的临床应用：超越黑箱效应
BMJ. 2019 Mar 12;364:l886. doi: 10.1136/bmj.l886.
Zotero 插件