Ethical issues in computational pathology.
Ethical issues in computational pathology.
复制标题
计算病理学中的伦理问题。
DOI：
10.1136/medethics-2020-107024
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发表时间：
2022
影响因子：
4.1
通讯作者：
Sorell T
中科院分区：
文献类型：
--
作者：
Sorell T
本文探讨了基于整个幻灯片图像的计算病理学所引发的伦理问题。在简要地列举了一些最近在这一领域取得进展的文献中的例子之后，我们考虑了一些可能被认为会引起的伦理问题。这些问题源于(1)人工智能(AI)研究--它对越来越多的数据的渴求--与数据伦理和数据保护法中将个人数据收集和处理降至最低的默认偏好之间的紧张关系；(2)计算病理学倾向于各种违反数据伦理规范和某些生物库规范的数据融合；(3)人工智能方法晦涩难懂，产生有时无法解释的结果(所谓的黑盒问题)；(4)计算病理学特别依赖于扫描技术制造商，以从数据收集中获利。我们将建议，这些问题中的大多数是可以解决的。
This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent literature of advances in this field, we consider some ethical problems it might be thought to pose. These arise from (1) the tension between artificial intelligence (AI) research—with its hunger for more and more data—and the default preference in data ethics and data protection law for the minimisation of personal data collection and processing; (2) the fact that computational pathology lends itself to kinds of data fusion that go against data ethics norms and some norms of biobanking; (3) the fact that AI methods are esoteric and produce results that are sometimes unexplainable (the so-called ‘black box’problem) and (4) the fact that computational pathology is particularly dependent on scanning technology manufacturers with interests of their own in profit-making from data collection. We shall suggest that most of these issues are resolvable.