Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes

Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes

Abstract Background Tumor documentation in Germany is currently a largely manual process. It involves reading the textual patient documentation and filling in forms in dedicated databases to obtain structured data. Advances in information extraction techniques that build on large language models (LL...

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Bibliographic Details
Main Authors: Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BioData Mining
Subjects:
Tumor Documentation
Information Extraction
Large Language Models (LLMs)
German Clinical Texts
Medical NLP
ICD-10 Coding
Online Access:https://doi.org/10.1186/s13040-025-00463-8
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https://doi.org/10.1186/s13040-025-00463-8

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