Sorensen James I, Nikam Rahul M, Choudhary Arabinda K
Department of Diagnostic Radiology, University of Arkansas for Medical Sciences, 12200 Cherryside Drive, Little Rock, AR, 72211, USA.
Department of Medical Imaging, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE, USA.
Pediatr Radiol. 2021 May;51(6):1061-1064. doi: 10.1007/s00247-021-05073-0. Epub 2021 Apr 27.
There have been rapid advances in artificial intelligence (AI) technology in recent years, and the field of diagnostic imaging is no exception. Just as digital technology revolutionized how radiology is practiced, so these new technologies also appear poised to bring sweeping change. As AI tools make the transition from the theoretical to the everyday, important decisions need to be made about how they will be applied and what their role will be in the practice of radiology. Pediatric radiology presents distinct challenges and opportunities for the application of these tools, and in this article we discuss some of these, specifically as they relate to the prediction, identification and investigation of child abuse.
近年来，人工智能（AI）技术取得了飞速发展，诊断成像领域也不例外。正如数字技术彻底改变了放射学的实践方式一样，这些新技术似乎也将带来巨大变革。随着人工智能工具从理论走向日常应用，需要就其应用方式以及在放射学实践中的作用做出重要决策。儿科放射学在应用这些工具方面面临着独特的挑战和机遇，在本文中，我们将讨论其中的一些问题，特别是与虐待儿童的预测、识别和调查相关的问题。
