Ogiela Lidia, Tadeusiewicz Ryszard, Ogiela Marek R
Faculty of Management, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059 Kraków, Poland.
Comput Biol Med. 2008 Apr;38(4):501-7. doi: 10.1016/j.compbiomed.2008.01.017. Epub 2008 Mar 12.
This paper presents the way of application of structural methods of Artificial Intelligence-in particular, linguistic mechanisms of semantic meaning reasoning-for development of intelligent medical information systems. They also facilitate an in-depth analysis of the meaning presented in Diagnosis Support Information Systems used in analysis of selected medical examinations. This paper will present the mechanisms of pattern meaning description on selected examples of spinal cord image analysis. Presented approach for semantic reasoning will be based on the model of cognitive resonance, which will be applied to the task of interpreting the meaning of selected diagnostic images from the central nervous system. Such algorithms are aimed to construct an intelligent analysis module in medical IS. The application presented in this paper is of a research character and it serves the preparation of efficient lesion detection methods applied to a data set originating from magnetic and resonance examinations of the spine and spinal cord structures.
本文介绍了应用人工智能结构方法的方式，特别是语义意义推理的语言机制，用于开发智能医学信息系统。它们还有助于深入分析用于所选医学检查分析的诊断支持信息系统中呈现的意义。本文将通过脊髓图像分析的选定示例展示模式意义描述的机制。所提出的语义推理方法将基于认知共振模型，该模型将应用于解释来自中枢神经系统的选定诊断图像的意义任务。此类算法旨在构建医学信息系统中的智能分析模块。本文所呈现的应用具有研究性质，它有助于准备应用于源自脊柱和脊髓结构的磁共振检查数据集的高效病变检测方法。
