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Updated: May 9, 2026

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
Published on: October 6, 2023
An ontology design for visualizing implicit knowledge of the radiotherapy risk
Shintaro Tsuji1, Akihisa Fukuda, Ayako Yagahara
1Department of Radiology, Hokkaido University Hospital, Japan.
This study introduces the Radiotherapy Risk Ontology (RRO) to simplify complex radiotherapy risks. The RRO enhances knowledge sharing among healthcare professionals, improving safety practices.
Area of Science:
- Medical Physics
- Oncology
- Knowledge Management
Background:
- Radiotherapy risk knowledge sharing is crucial for safety but complicated by diverse risk mechanisms.
- Ontological analysis offers a structured approach to knowledge sharing across domains.
Purpose of the Study:
- To construct a Radiotherapy Risk Ontology (RRO).
- To clarify the implicit structures of radiotherapy risks for improved knowledge sharing.
Main Methods:
- Extracting classes and relations from radiotherapy risk publications.
- Mapping and connecting these elements using an ontology editor.
- Verifying relationships using paired comparison charts.
Main Results:
- Developed the Radiotherapy Risk Ontology (RRO) with 789 classes and 14 explicit relationship types.
- Identified 22 types of implicit relationships through paired comparison.
- Distinguished between publication-oriented and other relationships, defining explicit and implicit types.
Conclusions:
- The RRO provides conceptual mapping and implicit knowledge of radiotherapy risks.
- This structured ontology facilitates enhanced knowledge sharing among oncologists, medical physicists, and therapists.
- The study successfully addressed the complexity of radiotherapy risks through ontological analysis.
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