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

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.

Artificial Intelligence (cs.AI)

arXiv:2609.19775 [cs.AI]

(or arXiv:2609.19775v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2609.19775 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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