EXPERT RADIOLOGY ASSISTANT--PHASE II

放射学专家助理——第二阶段

• 批准号: 3506663
• 负责人: KRIS A DINES
• 金额: $ 23.6万
• 依托单位: XDATA CORPORATION
• 依托单位国家: 美国
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-09-30 至 1993-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3506663
• 关键词: artificial intelligence; cancer information system; computer assisted diagnosis; computer program /software; computer system design /evaluation; diagnosis design /evaluation; diagnosis quality /standard; digital imaging; human subject; image enhancement; mammography; statistics /biometry

DESCRIPTION (Adapted from applicant's abstract): Research is proposed for the development of a computer-based expert radiology assistant to aid in the diagnosis of breast cancer using clinical findings, x-ray mammograms, and ultrasound images as input data. Based upon encouraging feasibility results which demonstrated that the Phase I prototype system produced interpretations comparable to expert radiologists, it is proposed to extend the system to more complex diagnostic situations, to incorporate a data base for statistical analysis of mammographic data, to optimize the diagnostic rules, to refine the methods of combining evidence, to improve the user interface, and to investigate the role of objective image analysis. Specific aims of Phase II are designed to provide experimental evidence to determine the role of expert system technology in breast cancer diagnosis, training of residents, management and reporting of examination data, and assistance in detecting and quantifying of abnormalities. The resulting expert system will be extensively tested, both retrospectively and prospectively, using clinical data to evaluate the practically attainable diagnostic accuracy, overall clinical utility, and potential for commercialization.

描述（改编自申请人摘要）：研究拟用于 开发基于计算机的放射学专家助理， 使用临床发现，x射线乳房X线照片， 和超声图像作为输入数据。 基于令人鼓舞的可行性 结果表明，第一阶段原型系统产生了 与放射科专家的解释相当，建议扩展 该系统能够更复杂地诊断情况， 对乳腺X线摄影数据进行统计分析，以优化 诊断规则，完善证据结合的方法，提高 用户界面，并调查客观形象的作用 分析. 第二阶段的具体目标是提供实验证据， 确定专家系统技术在乳腺癌诊断中的作用， 住院医师培训、检查数据的管理和报告，以及 协助检测和量化异常。 所得 专家系统将进行广泛的测试，既回顾性和 前瞻性地，使用临床数据来评价实际可达到的 诊断准确性、总体临床实用性和 商业化