EXPERT RADIOLOGY ASSISTANT

建议进行可行性研究， 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 潜在的帮助放射科医生解释诊断 图像和临床数据使用的人工智能的 系统通过将人类专家的知识编码在 计算机软件。 该系统将有助于诊断 困难的情况下，并提供现成的知识， 专家，导致更多的分发和应用 乳房X光检查专业知识。 第一阶段的具体目标是提供实验性的 证据来测试专家系统的能力， 基于临床和图像描述符的诊断， 放射科医生 将实施和测试一个原型系统 使用经过验证的临床病例，以帮助发现 推理方法和数据描述符，构成足够的 在专家水平上进行诊断的知识。 在定义了一组足够的图像描述符之后， 工作重点将是充分执行互动 系统的图像理解部分， 诊断和图像分析子系统，扩展 知识基础和明确的临床试验。

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.