作者
J Raymond Geis, Adrian P Brady, Carol C Wu, Jack Spencer, Erik Ranschaert, Jacob L Jaremko, Steve G Langer, Andrea Borondy Kitts, Judy Birch, William F Shields, Robert van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S Cook, Matthew B Morgan, An Tang, Nabile M Safdar, Marc Kohli
发表日期
2019/11
来源
Radiology
卷号
293
期号
2
页码范围
436-440
出版商
Radiological Society of North America
简介
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but it also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to …
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JR Geis, AP Brady, CC Wu, J Spencer, E Ranschaert… - Radiology, 2019