Representing Human Anatomy for Computation and Communication: Synergistic Development of an Anatomical Ontology and Semantically-Augmented Anatomical Graphics

代表人体解剖学进行计算和通信：解剖本体论和语义增强解剖图形的协同发展

• 批准号: 10635511
• 负责人: Melissa Clarkson
• 金额: $ 38.25万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-25 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10635511
• 关键词: Address; Affect; Anatomic Models; Anatomy; Biomedical Research; Clinical; Clinical Medicine; Communication; Communities; Computer software; Computers; Data Science; Data Set; Development; Disease; Education; Human; Human Resources; Informatics; Information Resources; Information Systems; Intelligence; Knowledge; Libraries; Medical Illustration; Medicine; Modeling; Modernization; Names; Ontology; Patient Care; Patients; Pattern; Persons; Positioning Attribute; Production; Readability; Recording of previous events; Research; Research Personnel; Resources; Scheme; Semantics; Source; Standardization; Structure; Text; Time; Variant; Visual; Work; biomedical ontology; body system; clinical application; computational anatomy; computational reasoning; data integration; data modeling; design; human model; knowledge base; knowledgebase; medical information system; multidisciplinary; next generation; ontology development; preservation; skills; trustworthiness; web app

Project summary Ontologies represent a domain of knowledge in a form that can be used by both computers and people. Biomedical ontologies provide standardized representations of knowledge that underlie modern biomedical research and serve as knowledge bases for enabling intelligent software applications. The Foundational Model of Anatomy (FMA) is an ontology of human anatomy and has a rich history as one of the first biomedical ontologies. After 20 years of development, two issues that affect the ability of the FMA to continue to serve as a source for standardized, computable knowledge of human anatomy have become apparent: First, variation in modeling schemes and inter-author variation have introduced inconsistencies, such that similar structures within the body are represented in slightly different ways. Second, ontologies rely on textual and logical representations, yet visual representations are often more effective for communicating about anatomy. These issues highlight the need for a next-generation resource for human anatomy that is optimized for use by both computers and people. In this project, we will undertake synergistic development of an ontology of human anatomy and standardized visual representations of human anatomy. Aim 1: To develop an ontology of human anatomy suitable for computational reasoning that will serve as a knowledgebase for the next generation of medical information systems, we will create the Foundational Model of Human Anatomy (FMHA) as a derivative of the FMA. Aim 2: To provide standardized visual representations of human anatomy for use in information systems, we will develop libraries of composable graphics depicting canonical anatomy that will be augmented with computer-readable semantics. Aim 3: To demonstrate use of the FMHA and standardized graphics to address real-world needs in research, education, and clinical contexts, we will expand our graphic libraries beyond depictions of canonical anatomy and develop two web applications. Aim 4: To demonstrate how developers can leverage the FMHA and graphics in their own web applications, we will develop a web application for graphically-driven exploration of the Disease Ontology. By developing the FMHA and anatomical graphics libraries as highly-curated resources, they will serve as trustworthy knowledge sources for biomedical applications in data science. By integrating text- based and visual representations of anatomy, we will help to ensure that researchers accurately annotate the anatomical content of datasets and models using FMHA classes, thereby helping to preserve the integrity of integrated datasets and models. 1

项目概要 本体以计算机和计算机都可以使用的形式表示知识领域 人们。生物医学本体论提供了现代知识的标准化表示 生物医学研究并作为支持智能软件应用的知识库。这 解剖学基础模型 (FMA) 是人体解剖学的本体论，作为人体解剖学的本体论之一，拥有丰富的历史。 第一个生物医学本体论。经过20年的发展，影响企业能力的两个问题 FMA 将继续作为标准化、可计算的人体解剖学知识的来源 变得明显：首先，建模方案的变化和作者间的变化已经引入 不一致，例如体内相似的结构以略有不同的方式表示。 其次，本体依赖于文本和逻辑表示，但视觉表示往往更重要。 有效地交流解剖学知识。这些问题凸显了对下一代的需求 人体解剖学资源，针对计算机和人类的使用进行了优化。 在这个项目中，我们将协同开发人体解剖学本体论和 人体解剖学的标准化视觉表示。目标1：开发人类本体论 适合计算推理的解剖学，将作为下一代的知识库 医疗信息系统的基础上，我们将创建人体解剖学基础模型 (FMHA) 作为 FMA 的衍生品。目标 2：提供人体解剖学的标准化视觉表示以供使用 在信息系统中，我们将开发描述规范解剖学的可组合图形库 这将通过计算机可读的语义来增强。目标 3：展示 FMHA 的使用和 标准化图形来满足研究、教育和临床环境中的现实需求，我们将 将我们的图形库扩展到规范解剖学描述之外，并开发两个 Web 应用程序。 目标 4：演示开发人员如何在自己的 Web 中利用 FMHA 和图形 应用程序，我们将开发一个网络应用程序，用于以图形方式驱动的疾病探索 本体论。 通过将 FMHA 和解剖图形库开发为精心策划的资源，他们将 作为数据科学中生物医学应用的值得信赖的知识来源。通过整合文本- 基于解剖学的视觉表示，我们将帮助确保研究人员准确地 使用 FMHA 类注释数据集和模型的解剖内容，从而有助于 保持集成数据集和模型的完整性。 1