title: RGSS-ID: an approach to new radiologic reporting system.
abstract: 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.
authors: Department of Radiology, Nagoya University School of Medicine, Japan.
authors: M
authors: M
authors: Ikeda
authors: S
authors: S
authors: Sakuma
authors: K
authors: K
authors: Maruyama
mesh_terms: D001185:Artificial Intelligence; D003199:Computer Systems; D011873:Radiology Information Systems; D012985:Software Design; D014584:User-Computer Interface