Donnelly Lane F, Grzeszczuk Robert, Guimaraes Carolina V
University of North Carolina, School of Medicine, Department of Radiology, Chapel Hill, NC; Stanford University, School of Medicine, Department of Radiology, Palo Alto, CA; Stanford University, School of Medicine, Department of Pediatrics, Palo Alto, CA.
InContext, Boston, MA.
Semin Ultrasound CT MR. 2022 Apr;43(2):176-181. doi: 10.1053/j.sult.2022.02.007. Epub 2022 Feb 11.
Natural language processing (NLP) is focused on the computer interpretation of human language and can be used to evaluate radiology reports and has demonstrated useful applications in essentially all aspects of medical imaging delivery: interpretation of imaging data, improving image acquisition, image analysis, and increasing efficiency of imaging services. This manuscript reviews general technologic approaches to NLP at a level hopefully understandable by clinical radiologists, discusses recent advancements in NLP techniques, and discusses current and potential applications of NLP in radiology.
自然语言处理（NLP）专注于计算机对人类语言的解读，可用于评估放射学报告，并已在医学影像传输的几乎所有方面展现出实用价值：影像数据解读、改善图像采集、图像分析以及提高影像服务效率。本文综述了临床放射科医生有望理解的NLP一般技术方法，讨论了NLP技术的最新进展，并探讨了NLP在放射学中的当前及潜在应用。
