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人工智能在儿科放射学中的当前及未来作用。

The current and future roles of artificial intelligence in pediatric radiology.

作者信息

Otjen Jeffrey P, Moore Michael M, Romberg Erin K, Perez Francisco A, Iyer Ramesh S

机构信息

Department of Radiology, Seattle Children's Hospital, University of Washington School of Medicine, 4800 Sand Point Way NE, MA.7.220, Seattle, WA, 98105, USA.

Department of Radiology, Penn State Children's Hospital, Penn State Health System, Hershey, PA, USA.

出版信息

Pediatr Radiol. 2022 Oct;52(11):2065-2073. doi: 10.1007/s00247-021-05086-9. Epub 2021 May 27.

Abstract

Artificial intelligence (AI) is a broad and complicated concept that has begun to affect many areas of medicine, perhaps none so much as radiology. While pediatric radiology has been less affected than other radiology subspecialties, there are some well-developed and some nascent applications within the field. This review focuses on the use of AI within pediatric radiology for image interpretation, with descriptive summaries of the literature to date. We highlight common features that enable successful application of the technology, along with some of the limitations that can inhibit the development of this field. We present some ideas for further research in this area and challenges that must be overcome, with an understanding that technology often advances in unpredictable ways.

摘要

人工智能(AI)是一个广泛而复杂的概念,已开始影响医学的许多领域,对放射学的影响可能尤为显著。虽然儿科放射学受到的影响比其他放射学亚专业要小,但该领域仍有一些成熟的和一些新兴的应用。本综述聚焦于人工智能在儿科放射学图像解读中的应用,并对迄今为止的文献进行描述性总结。我们强调了使该技术得以成功应用的共同特征,以及一些可能阻碍该领域发展的局限性。我们提出了该领域进一步研究的一些思路以及必须克服的挑战,同时认识到技术往往以不可预测的方式发展。

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