The current and future roles of artificial intelligence in pediatric radiology

被引:11
|
作者
Otjen, Jeffrey P. [1 ]
Moore, Michael M. [2 ]
Romberg, Erin K. [1 ]
Perez, Francisco A. [1 ]
Iyer, Ramesh S. [1 ]
机构
[1] Univ Washington, Dept Radiol, Seattle Childrens Hosp, Sch Med, 4800 Sand Point Way NE,MA 7-220, Seattle, MA 98105 USA
[2] Penn State Childrens Hosp, Dept Radiol, Penn State Hlth Syst, Hershey, PA USA
关键词
Applications; Artificial intelligence; Children; Convolutional neural network; Pediatric radiology; Research; Technology;
D O I
10.1007/s00247-021-05086-9
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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.
引用
收藏
页码:2065 / 2073
页数:9
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