Artificial Intelligence in Radiology-Ethical Considerations

被引：68

作者：

Brady, Adrian P. ^{[1
,2
]}

Neri, Emanuele ^{[3
]}

机构：

[1] Mercy Univ Hosp, Dept Radiol, Cork T12 WE28, Ireland

[2] European Soc Radiol ESR, Gestade 1, A-1010 Vienna, Austria

[3] Univ Pisa, Diagnost & Intervent Radiol, Dept Translat Res, Via Roma 67, I-56126 Pisa, Italy

来源：

DIAGNOSTICS | 2020年 / 10卷 / 04期

关键词：

artificial intelligence; radiology ethics; machine learning; CONFLICT-OF-INTEREST;

D O I：

10.3390/diagnostics10040231

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Artificial intelligence (AI) is poised to change much about the way we practice radiology in the near future. The power of AI tools has the potential to offer substantial benefit to patients. Conversely, there are dangers inherent in the deployment of AI in radiology, if this is done without regard to possible ethical risks. Some ethical issues are obvious; others are less easily discerned, and less easily avoided. This paper explains some of the ethical difficulties of which we are presently aware, and some of the measures we may take to protect against misuse of AI.

引用

页数：9

共 25 条

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