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本文引用的文献

1
Accelerating the De-Personalization of Medicine: The Ethical Toxicities of COVID-19.加速医学去人性化:COVID-19 的伦理毒性。
J Bioeth Inq. 2020 Dec;17(4):815-821. doi: 10.1007/s11673-020-10026-7. Epub 2020 Aug 25.
2
How to achieve trustworthy artificial intelligence for health.如何实现可信的医疗人工智能。
Bull World Health Organ. 2020 Apr 1;98(4):257-262. doi: 10.2471/BLT.19.237289. Epub 2020 Jan 27.
3
How to Design AI for Social Good: Seven Essential Factors.如何设计造福社会的人工智能:七个关键因素。
Sci Eng Ethics. 2020 Jun;26(3):1771-1796. doi: 10.1007/s11948-020-00213-5. Epub 2020 Apr 3.
4
Primer on an ethics of AI-based decision support systems in the clinic.临床中基于人工智能的决策支持系统的伦理入门
J Med Ethics. 2020 Apr 3;47(12):e3. doi: 10.1136/medethics-2019-105860.
5
Measles: Samoa declares emergency as cases continue to spike worldwide.麻疹:随着全球病例持续激增,萨摩亚宣布进入紧急状态。
BMJ. 2019 Nov 29;367:l6767. doi: 10.1136/bmj.l6767.
6
Lifecycle Regulation of Artificial Intelligence- and Machine Learning-Based Software Devices in Medicine.医学中基于人工智能和机器学习的软件设备的生命周期监管
JAMA. 2019 Dec 17;322(23):2285-2286. doi: 10.1001/jama.2019.16842.
7
Addressing Bias in Artificial Intelligence in Health Care.应对医疗保健领域人工智能中的偏见问题。
JAMA. 2019 Dec 24;322(24):2377-2378. doi: 10.1001/jama.2019.18058.
8
On the ethics of algorithmic decision-making in healthcare.论医疗保健中算法决策的伦理问题。
J Med Ethics. 2020 Mar;46(3):205-211. doi: 10.1136/medethics-2019-105586. Epub 2019 Nov 20.
9
A governance model for the application of AI in health care.人工智能在医疗保健领域应用的治理模型。
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Algorithm-Aided Prediction of Patient Preferences - An Ethics Sneak Peek.算法辅助的患者偏好预测——伦理初探
N Engl J Med. 2019 Oct 10;381(15):1480-1485. doi: 10.1056/NEJMms1904869.

医学中的人工智能:对医学中人工智能和机器学习的伦理批判。

Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

机构信息

School of Rural Health (Dubbo/Orange), Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.

Sydney Health Ethics, School of Public Health, University of Sydney, Sydney, Australia.

出版信息

J Bioeth Inq. 2021 Mar;18(1):121-139. doi: 10.1007/s11673-020-10080-1. Epub 2021 Jan 7.

DOI:10.1007/s11673-020-10080-1
PMID:33415596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7790358/
Abstract

The rapid adoption and implementation of artificial intelligence in medicine creates an ontologically distinct situation from prior care models. There are both potential advantages and disadvantages with such technology in advancing the interests of patients, with resultant ontological and epistemic concerns for physicians and patients relating to the instatiation of AI as a dependent, semi- or fully-autonomous agent in the encounter. The concept of libertarian paternalism potentially exercised by AI (and those who control it) has created challenges to conventional assessments of patient and physician autonomy. The unclear legal relationship between AI and its users cannot be settled presently, an progress in AI and its implementation in patient care will necessitate an iterative discourse to preserve humanitarian concerns in future models of care. This paper proposes that physicians should neither uncritically accept nor unreasonably resist developments in AI but must actively engage and contribute to the discourse, since AI will affect their roles and the nature of their work. One's moral imaginative capacity must be engaged in the questions of beneficence, autonomy, and justice of AI and whether its integration in healthcare has the potential to augment or interfere with the ends of medical practice.

摘要

人工智能在医学中的快速采用和实施,相较于以往的医疗模式,产生了一种本体论上截然不同的情况。这种技术在推进患者利益方面既有潜在的优势,也有潜在的劣势,这给医生和患者带来了与人工智能作为一种依赖、半自主或全自主代理在医疗过程中实施相关的本体论和认识论问题。人工智能(以及控制它的人)可能实施的自由意志家长主义概念,对传统的患者和医生自主权评估提出了挑战。人工智能及其使用者之间的法律关系目前尚不清楚,随着人工智能的发展及其在患者护理中的应用,未来的护理模式将需要进行迭代讨论,以保护人道主义关注。本文提出,医生既不应盲目接受,也不应不合理地抵制人工智能的发展,而必须积极参与并为讨论做出贡献,因为人工智能将影响他们的角色和工作性质。人们的道德想象力必须参与到人工智能的功利、自主和正义问题中,以及其在医疗保健中的整合是否有可能增强或干扰医疗实践的目的。