SU MEDICAL EXPERIMENTAL COMPUTER RESOURCE (SUMEX)

SU医学实验计算机资源（SUMEX）

• 批准号: 3103684
• 负责人: EDWARD H SHORTLIFFE
• 金额: $ 209.07万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1978
• 资助国家: 美国
• 起止时间: 1978-08-01 至 1991-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3103684
• 关键词: arthritis; artificial intelligence; automated medical record system; blood coagulation disorders; cancer information system; chemical information system; chemical structure; chronic disease /disorder; circular dichroism; cognition; communicable disease diagnosis; computer assisted diagnosis; computer assisted medical decision making; computer assisted patient care; computer center; computer graphics /printing; computer human interaction; computer simulation; computer system design /evaluation; disease /disorder classification; embryo /fetus monitoring; human population genetics; information systems; infrared spectrometry; intensive care; microorganism disease chemotherapy; molecular biology; neoplasm /cancer therapy; nuclear magnetic resonance spectroscopy; nucleic acid sequence; online computer; patient /disease registry; psychopharmacology; respiratory disorder diagnosis; respiratory therapy; speech synthesizers; stereochemistry; ultrasonography

Stanford University maintains a national shared computing resource in partnership with the NIH Biotechnology Resources Program to explore advanced applications of computer science in health research. There are two main objectives of the facility: 1) the managerial, administrative and technical demonstration of a national shared technological resource for health research and 2) the specific encouragement of applications of artificial intelligence in medicine (AIM). Besides the economic advantages of resource sharing made possible by emerging data communication technologies, a closer interaction between diverse research efforts is expected to promote a more systematic exchange of research products and ideas. This may be particularly true in applications of computer science. Multi-lateral community building rather than unilateral service is the project's essential mandate. The term "artificial intelligence" (AI) is applied to research aimed at increasing the computer's effectiveness as a tool through the emulation of aspects of human symbolic reasoning and problem-solving. The field emphasizes the judgmental manipulation of symbolic (non-numeric) representations of knowledge of a task domain for model-building and decision-making. Current applications include programs which assist in inferring chemical structures from mass spectral or x-ray crystallographic data, suggesting diagnoses and treatments within various classes of diseases, and modeling aspects of human behavior patterns. Additional users of the facility will be selected within the available PDP-10 computer capacity with the help of an AIM Executive Committee and Advisory Group on the basis of reviews of the proposed research. Selection criteria will include general scientific interest and merit, relevance to the AI mission, and community orientation of the collaborator.

斯坦福大学在以下国家维护着国家共享计算资源 与 NIH 生物技术资源计划合作探索先进技术 计算机科学在健康研究中的应用。 主要有两个 该设施的目标： 1) 管理、行政和技术 展示国家卫生研究共享技术资源 2）具体鼓励人工智能在以下领域的应用： 医学（AIM）。 除了资源共享带来的经济优势 通过新兴的数据通信技术，更紧密的互动成为可能 不同研究工作之间的合作有望促进更加系统化的研究 交流研究产品和想法。 这可能尤其适用于 计算机科学的应用。 多边社区建设而不是 单方面服务是该项目的基本任务。 “人工智能”（AI）一词适用于旨在 通过模拟提高计算机作为工具的有效性 人类符号推理和解决问题的各个方面。 该领域强调 对符号（非数字）表示的判断操纵 模型构建和决策的任务领域的知识。 当前的 应用程序包括协助推断化学结构的程序 质谱或 X 射线晶体学数据，建议诊断和 各类疾病的治疗以及人类的建模方面 行为模式。 该设施的其他用户将在可用的 PDP-10 中选择 在 AIM 执行委员会和咨询小组的帮助下提高计算机能力 基于对拟议研究的审查。 选择标准将 包括一般科学兴趣和优点、与人工智能使命的相关性，以及 合作者的社区定位。