EXPERT RADIOLOGY ASSISTANT

建议进行可行性研究，以开发一种 基于计算机的专家放射学助理(XRA)，以帮助 乳腺癌的诊断。建议的专家系统具有 有可能协助放射科医生解释诊断 使用人工智能的图像和临床数据 由人类专家的知识编码形成的系统 电脑软件。该系统将帮助诊断 疑难案件并提供随时获取知识的途径 专家，导致更多的分发和应用 乳房X光检查的专业知识。 第一阶段的具体目标旨在提供试验性 测试专家系统能力的证据 根据由提供的临床和图像描述符进行诊断 放射科医生。将实现并测试一个原型系统 利用已核实的临床病例来帮助发现 构成足够的推理方法和数据描述符 在专家级别的表现下进行诊断的知识。 在定义了一组足够的图像描述符之后，阶段II 工作重点将集中在全面实施互动机制 系统的图像理解部分，集成 诊断和图像分析子系统，扩展 知识库和权威的临床测试。

Feasibility research is proposed for the development of a computer-based expert radiology assistant (XRA) to aid in the diagnosis of breast cancer. The proposed expert system has the potential to assist radiologists in the interpretation of diagnostic images and clinical data using the artificial intelligence of the system formed by encoding the knowledge of human experts in the computer software. The system will assist in the diagnosis of difficult cases and provide ready access to the knowledge of experts, leading to increased distribution and application of mammographic expertise. Specific aims of Phase I are designed to provide experimental evidence to test the capability of an expert system to make diagnoses based upon clinical and image descriptors provided by radiologists. A prototype system will be implemented and tested using verified clinical cases in order to aid in the discovery of reasoning methods and data descriptors that constitute sufficient knowledge to make diagnoses at expert levels of performance. Having defined a sufficient set of image descriptors, a Phase II effort will concentrate on full implementation of the interactive image understanding portion of the system, integration of the diagnostic and image analysis subsystems, expansion of the knowledge base, and definitive clinical testing.