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人工智能伦理考量:当前放射学领域概述。

Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

机构信息

Department of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.

出版信息

Diagn Interv Radiol. 2020 Sep;26(5):504-511. doi: 10.5152/dir.2020.19279.

DOI:10.5152/dir.2020.19279
PMID:32755879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7490024/
Abstract

Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. However, AI applications are not smooth sailing. It is crucial to understand the potential risks and hazards that come with this new technology. We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests. These issues are discussed under the light of core biomedical ethics principles and principles for AI-specific ethical challenges while giving an overview of the statements that were proposed for the ethics of AI applications in radiology.

摘要

人工智能(AI)在加速医学科学发现和改变医疗保健方面具有巨大潜力。在放射学中,人工智能即将进入临床实践,并具有广泛的应用,涵盖整个诊断工作流程。然而,人工智能应用并非一帆风顺。了解这项新技术带来的潜在风险和危害至关重要。我们必须以最佳方式实施人工智能,既要体现久经考验的伦理和法律标准,又要确保充分保护患者利益。本文从核心生物医学伦理原则和人工智能特定伦理挑战的原则出发,讨论了这些问题,并概述了为放射学中人工智能应用的伦理提出的建议。

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本文引用的文献

1
Will Artificial Intelligence Replace Radiologists?人工智能会取代放射科医生吗?
Radiol Artif Intell. 2019 May 15;1(3):e190058. doi: 10.1148/ryai.2019190058. eCollection 2019 May.
2
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.医学成像中人工智能研究的相关挑战及图像分析竞赛的重要性
Radiol Artif Intell. 2019 Jan 30;1(1):e180031. doi: 10.1148/ryai.2019180031. eCollection 2019 Jan.
3
Dissecting racial bias in an algorithm used to manage the health of populations.剖析用于管理人群健康的算法中的种族偏见。
Science. 2019 Oct 25;366(6464):447-453. doi: 10.1126/science.aax2342.
4
Identification of Anonymous MRI Research Participants with Face-Recognition Software.使用面部识别软件识别匿名MRI研究参与者
N Engl J Med. 2019 Oct 24;381(17):1684-1686. doi: 10.1056/NEJMc1908881.
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Potential Liability for Physicians Using Artificial Intelligence.医生使用人工智能的潜在责任。
JAMA. 2019 Nov 12;322(18):1765-1766. doi: 10.1001/jama.2019.15064.
6
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.放射学中人工智能的伦理问题:欧洲和北美多学会联合声明摘要
Insights Imaging. 2019 Oct 1;10(1):101. doi: 10.1186/s13244-019-0785-8.
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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》。
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