Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data

Precision oncology leverages real-world data, essential for identifying biomarkers and therapies. Large language models (LLMs) can aid at structuring unstructured data, overcoming current bottlenecks in precision oncology. We propose a framework for responsible LLM integration into precision oncolog...

Full description

Bibliographic Details

Main Authors:	Mathes, Sonja (Author) , Ferber, Dyke (Author) , Dreyer, Tobias (Author) , Borm, Kai Joachim (Author) , Modersohn, Luise (Author) , Willem, Theresa (Author) , Dirven, Richard (Author) , Vibert, Julien (Author) , Kreutzfeldt, Simon (Author) , Perez-Lopez, Raquel (Author) , Prelaj, Arsela (Author) , Strand, Fredrik (Author) , Baird, Richard D. (Author) , Boeker, Martin (Author) , Kather, Jakob Nikolas (Author) , Tschochohei, Maximilian (Author) , Lammert, Jacqueline (Author)
Format:	Article (Journal)
Language:	English
Published:	04 December 2025
In:	npj precision oncology Year: 2025, Volume: 10, Issue: 1, Pages: 1-11
ISSN:	2397-768X
DOI:	10.1038/s41698-025-01180-5
Online Access:	Resolving-System, kostenfrei, Volltext: https://doi.org/10.1038/s41698-025-01180-5 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41698-025-01180-5
Author Notes:	Sonja Mathes, Dyke Ferber, Tobias Dreyer, Kai J. Borm, Luise Modersohn, Theresa Willem, Richard Dirven, Julien Vibert, Simon Kreutzfeldt, Raquel Perez-Lopez, Arsela Prelaj, Fredrik Strand, Richard D. Baird, Martin Boeker, Jakob Nikolas Kather, Maximilian Tschochohei & Jacqueline Lammert