Integrating knowledge from case reports: a medical ontology based multimodal information system with structured summary

2026-09-17

AI Summary

为解决医学案例报告信息检索效率低的问题，本文提出了一种基于医学本体的多模态信息系统，整合了患者结构化摘要、医学图像和生物医学命名实体。

Abstract

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.

Problem

• case reports
• unstructured information
• keyword-based retrieval
• clinical knowledge
• rare diseases

Innovation

• multimodal information system
• structured clinical summaries
• medical ontology
• case reports retrieval