整合病例报告知识：基于医学本体的多模态信息系统与结构化摘要
Integrating knowledge from case reports: a medical ontology based multimodal information system with structured summary
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中文总结 AI 辅助
针对传统关键词检索在非结构化病例报告中的局限，本文构建了基于医学本体的多模态信息系统，整合52949篇病例报告的结构化摘要与图像，辅助临床医生高效检索并提升罕见病诊断能力。
中文摘要 AI 辅助
已发表的医学病例报告是重要的医学信息载体，记录了罕见病发现、诊断方法和创新治疗。尽管公共医学文献数据库（PubMed）中数百万份病例报告蕴含丰富的临床知识，但传统基于关键词的检索工具在处理非结构化和多样化的病例报告时存在局限，阻碍了高效获取相关信息。为解决上述问题，我们引入了一个综合性的多模态病例报告信息系统，该系统整合了2000年至2021年间发表的52949篇开放获取病例报告中的患者结构化临床摘要，包括医学图像和生物医学命名实体。多模态关键信息以结构良好的医学本体进行组织。此外，我们还设计了一个强大的搜索和浏览病例报告界面，以帮助初级临床医生有效检索病例，并提高对罕见病的识别和诊断能力。
英文摘要
Published medical case reports serve as a crucial medical information carrier, documenting discoveries in rare diseases, diagnostic methods, and innovative treatments. Despite the wealth of clinical knowledge in millions of case reports in the public medicine literature database (PubMed), accessing relevant information efficiently is hindered by the limitations of traditional keyword-based retrieval tools on unstructured and diverse case reports. To address the above issues, we introduce a comprehensive multimodal information system for case reports integrating structured clinical summaries of patients including medical images and biomedical named entities from 52949 open-access case reports published from 2000 to 2021. The multimodal essential information is organized in a well-structured medical ontology. Also, a powerful interface for searching and browsing case reports is designed to assist junior clinicians in retrieving cases effectively and improving the identification and diagnosis of rare diseases.
发表机构
- Jilin University（吉林大学）
机构由 AI 辅助整理，请以论文原文为准。
