恩惠
自治
生命伦理学
经济正义
危害
工程伦理学
伦理问题
乳房成像
医学影像学
计算机科学
管理科学
人工智能
心理学
乳腺摄影术
医学
政治学
乳腺癌
工程类
法学
社会心理学
内科学
癌症
作者
Matthew B. Morgan,Jonathan Mates
出处
期刊:Journal of breast imaging
[Oxford University Press]
日期:2023-01-09
卷期号:5 (2): 195-200
被引量:8
摘要
There is great interest in the development of artificial intelligence (AI) applications for medical imaging in general and specifically in breast imaging. Because of the scale of application and the potential for harm, there has been a parallel interest in assuring that these new technologies are scrutinized and applied in ethical ways. The four principles of autonomy, beneficence, non-maleficence, and justice are widely accepted as a framework for bioethical analysis. We incorporate a fifth principle of explicability (adapted from Floridi and Cowls) because of the unique considerations of AI. We review definitions of each of these principles and provide examples of their practical application to breast imaging.
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