SBIR Phase II: Roentgen: An Intelligent Radiotherapy Planner

SBIR 第二阶段：伦琴：智能放射治疗规划器

• 批准号: 9531395
• 负责人: Robin Burke
• 金额: $ 29.78万
• 依托单位: Chicago Information Technologies, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-10-15 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9531395&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Roentgen; Intelligent

9531395 Burke This Small Business Innovation Research Phase II project is aimed at the creation of clinically-viable case based Radiation Therapy Planning Assistant, and a tool for constructing other case-based intelligent assistants for medical tasks. The key innovations are the ability of the tool to reason about medical images and to develop its initial case base from existing archives of medical data, both textual and multimedia. The direct benefits of this project would be to improve the quality and consistency of radiation therapy planning. Because previous cases can be used as a guide, less-experienced dosimetrists can profit from expert's experience directly. Further, the development of a generalized tool based on ROENTGEN has the potential to extend such benefits to other areas of medicine. There are other approaches to building intelligent medical advisory systems, most notably, those approaches based on expert-systems technology. However, these systems cannot take advantage of existing medical archives as ROENTGEN does and have a significantly higher development and maintenance cost. The project will proceed along two fronts. First is the further development and clinical evaluation of the existing ROENTGEN radiation therapy system. The second direction of development is to generalize the techniques of ROENTGEN into a case-based reasoning shell. Such a tool will facilitate creation of many other case-based assistants similar to ROENTGEN for other medical domains,particularly those that require visual reasoning. The commercial potential of ROENTGEN and related tools lies in their ability to make intelligent use of data already being collected through hospital information systems and medical imagery. These systems turn inert data into a type of institutional memory that can contribute to new patient treatment.

9531395 Burke这个小企业创新研究第二阶段项目旨在创建临床可行的基于病例的放射治疗计划助手，以及用于构建用于医疗任务的其他基于病例的智能助手的工具。关键的创新是该工具能够对医学图像进行推理，并从现有的医学数据档案(包括文本和多媒体)中开发其初始病例库。该项目的直接好处将是提高放射治疗计划的质量和一致性。由于以前的案例可以作为指导，经验较少的剂量学家可以直接从专家的经验中获益。此外，基于伦琴的通用工具的开发有可能将这些好处扩展到医学的其他领域。还有其他方法来构建智能医疗咨询系统，最引人注目的是那些基于专家系统技术的方法。然而，这些系统不能像伦琴那样利用现有的医疗档案，而且开发和维护成本要高得多。该项目将从两个方面进行。首先是对现有伦琴放射治疗系统的进一步开发和临床评估。第二个发展方向是将伦琴的技术推广到基于案例的推理外壳中。这样的工具将促进为其他医学领域，特别是那些需要视觉推理的领域创建许多类似于伦琴的其他基于案例的助手。伦琴和相关工具的商业潜力在于它们能够智能地利用已经通过医院信息系统和医学图像收集的数据。这些系统将惰性数据转化为一种机构记忆，有助于新患者的治疗。