Ethical considerations in artificial intelligence

被引：76
|
作者：
Safdar, Nabile M. [1 ,3 ]
Banja, John D. [2 ,6 ]
Meltzer, Carolyn C. [1 ,4 ,5 ]
机构：
[1] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30322 USA
[2] Emory Univ, Dept Rehabil Med, Atlanta, GA 30322 USA
[3] Emory Univ, Dept Biomed Informat, Atlanta, GA 30322 USA
[4] Emory Univ, Dept Psychiat & Behav Sci, Atlanta, GA 30322 USA
[5] Emory Univ, Dept Neurol, Atlanta, GA 30322 USA
[6] Emory Univ, Ctr Eth, Atlanta, GA 30322 USA
来源：
EUROPEAN JOURNAL OF RADIOLOGY | 2020年 / 122卷
关键词：
Artificial intelligence; Machine learning; Ethics; Radiology;
D O I：
10.1016/j.ejrad.2019.108768
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.
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页数：3
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