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2021 | OriginalPaper | Chapter

Construction of a Knowledge Base for Empirical Knowledge in Neurosurgery

Authors : Ayuki Joto, Takahiro Fuchi, Hiroshi Noborio, Katsuhiko Onishi, Masahiro Nonaka, Tsuneo Jozen

Published in: Human-Computer Interaction. Interaction Techniques and Novel Applications

Publisher: Springer International Publishing

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Abstract

This chapter delves into the creation of BrainCGpedia, a knowledge base designed to accumulate and utilize empirical knowledge in neurosurgery. By leveraging 3D models and ontologies, the system aims to represent intricate brain structures and vascular systems accurately, enabling neurosurgeons to share and access crucial information efficiently. The research addresses data confidentiality issues by proposing anonymization methods and limiting data disclosure based on user roles. Additionally, the chapter outlines the development of user interfaces for both intraoperative and postoperative use, including a motion-controlled interface for emergency situations. The proposed ontology construction methods and linked data structures are highlighted as key innovations, promising to revolutionize the way empirical knowledge is shared and utilized in neurosurgery.

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Literature
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Metadata
Title
Construction of a Knowledge Base for Empirical Knowledge in Neurosurgery
Authors
Ayuki Joto
Takahiro Fuchi
Hiroshi Noborio
Katsuhiko Onishi
Masahiro Nonaka
Tsuneo Jozen
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78465-2_38