Development of a Rule-Based Knowledge Base for Digitalization of Standard Operating Procedures on Radiotherapy in Breast Cancer
Our rule-based knowledge base demonstrates the feasibility of transforming static SOPs into interactive, evidence-linked resources. While promising, substantial user experience barriers remain. Future enhancements will prioritize UI improvements, sustainable knowledge-updating mechanisms, and AI integration to strengthen the system for practical use.
Authors
- Paul Martin Putora (ORCID: https://orcid.org/0000-0002-4972-6115)
- Nikola Čihorić (ORCID: https://orcid.org/0000-0003-1534-8520)
- Fabio Dennstädt (ORCID: https://orcid.org/0000-0002-5374-8720)
- Markus Glatzer (ORCID: https://orcid.org/0000-0003-2277-7577)
- Johannes Zink (ORCID: https://orcid.org/0000-0002-7398-718X)
- Galina Farina Fischer
- Hông-Linh Hà
- Detlef Brügge
- Dagmar Weder
- Julie Crommelinck
- Krisztian Süveg
- Ludwig Plaßwilm
Institutions
- University of Bern (CH)
- University of St.Gallen (CH)
- University Hospital of Bern (CH)
- Technical University of Munich (DE)
Publication Details
- Journal
- Oncology
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1159/000549853
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00