Ikeda M, Sakuma S, Maruyama K
Department of Radiology, Nagoya University School of Medicine, Japan.
Comput Med Imaging Graph. 1990 Nov-Dec;14(6):395-407. doi: 10.1016/0895-6111(90)90039-e.
RGSS-ID is a developmental computer system that applies artificial intelligence (AI) methods to a reporting system. The representation scheme called Generalized Finding Representation (GFR) is proposed to bridge the gap between natural language expressions in the radiology report and AI methods. The entry process of RGSS-ID is made mainly by selecting items; our system allows a radiologist to compose a sentence which can be completely parsed by the computer. Further RGSS-ID encodes findings into the expression corresponding to GFR, and stores this expression into the knowledge data base. The final printed report is made in the natural language.
RGSS-ID是一个将人工智能（AI）方法应用于报告系统的开发中的计算机系统。提出了一种称为广义发现表示（GFR）的表示方案，以弥合放射学报告中的自然语言表达与AI方法之间的差距。RGSS-ID的录入过程主要通过选择项目来完成；我们的系统允许放射科医生撰写一个可以被计算机完全解析的句子。此外，RGSS-ID将发现编码为与GFR相对应的表达式，并将此表达式存储到知识库中。最终的打印报告采用自然语言生成。
