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

项目摘要 本体论代表一个以计算机和可以使用的形式的知识领域 人们。生物医学本体提供了标准化的知识代表，这是现代基础的 生物医学研究并充当启用智能软件应用程序的知识库。这 解剖学基础模型（FMA）是人类解剖学的本体论，并具有丰富的历史 第一个生物医学本体论。经过20年的发展，有两个影响能力的问题 FMA继续作为人类解剖学的标准化，可计算知识的来源已有 变得很明显：首先，引入了建模方案和代表跨变异的变化 不一致，使身体内部类似的结构以略有不同的方式表示。 其次，本体依赖文本和逻辑表示，但视觉表示通常更多 有效地沟通解剖结构。这些问题强调了下一代的需求 人类解剖学的资源，旨在使用计算机和人使用。 在这个项目中，我们将对人类解剖学本体的协同发展和 人体解剖结构的标准视觉表示。目标1：发展人类本体论 解剖结构适合将作为下一代知识基础的计算推理 在医学信息系统中，我们将创建人类解剖结构（FMHA）的基础模型 FMA的导数。目标2：提供人体解剖结构的标准视觉表示 在信息系统中，我们将开发描述规范解剖学的组合图形的库 这将通过计算机可读语义来增强。目标3：证明使用FMHA和 标准化图形以满足研究，教育和临床环境中现实世界的需求，我们将 将我们的图形库扩展到规范解剖结构的描述之外，并开发两个Web应用程序。 目标4：展示开发人员如何利用自己的网络中的FMHA和图形 应用程序，我们将开发用于以图形驱动疾病探索的Web应用程序 本体论。 通过将FMHA和解剖图形库作为高度策划的资源，他们将 作为数据科学生物医学应用的值得信赖的知识来源。通过整合文本 - 基于解剖结构的和视觉表示，我们将帮助确保研究人员准确 使用FMHA类注释数据集和模型的解剖内容，从而有助于 保留集成数据集和模型的完整性。 1