Ikeda M, Sakuma S, Maruyama K
Nihon Igaku Hoshasen Gakkai Zasshi. 1989 Apr 25;49(4):445-53.
RGSS-IDJ is developed as the Japanese version of Report Generation Support System for Imaging Diagnosis (RGSS-ID), which is a developmental computer system that applies artificial intelligence (AI) methods to a reporting system. Now RGSS-IDJ supports the report generation of cranial computed tomography. A representation scheme called Generalized Finding Representation (GFR) is proposed, to bridge the gap between natural language expressions in the radiographic report and AI methods. GRF for RGSS-IDJ is the same as for RGSS-ID. The basic style for entering the findings on the radiograph is the dialogue system with the routine of query and answering it by selecting items with a mouse. This system encodes the input findings into the network expressions, which are represented as the list form in the LISP computer language. And, it reserves them into the knowledge data base. The content of the report will be able to be utilized for various analyses within AI paradigm. The final radiographic report is made in the natural Japanese language.
RGSS-IDJ是作为影像诊断报告生成支持系统（RGSS-ID）的日语版本开发的，它是一种将人工智能（AI）方法应用于报告系统的开发中的计算机系统。目前，RGSS-IDJ支持头颅计算机断层扫描的报告生成。为弥合放射学报告中的自然语言表达与AI方法之间的差距，提出了一种名为广义发现表示（GFR）的表示方案。RGSS-IDJ的GRF与RGSS-ID的相同。在X光片上输入检查结果的基本方式是通过鼠标选择项目进行查询和回答的对话系统。该系统将输入的检查结果编码为网络表达式，以LISP计算机语言中的列表形式表示。并且，将它们存储到知识库中。报告的内容将能够在AI范式内用于各种分析。最终的放射学报告以自然日语生成。
