LLM-powered breast cancer staging from PET/CT reports: a comparative performance study

These findings underscore the ability of advanced natural language processing (NLP) technologies to support reliable cancer staging, potentially aiding clinicians. Despite the encouraging performance, prospective clinical trials and validation across diverse practice settings remain critical to confirming these preliminary outcomes. Nonetheless, this study highlights the promise of LLM-based systems in reinforcing the accuracy of oncologic workflows and lays the groundwork for broader adoption of AI-driven tools in breast cancer management.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2025-07-19
DOI
https://doi.org/10.1016/j.ijmedinf.2025.106053
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
6.80
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article

LLM-powered breast cancer staging from PET/CT reports: a comparative performance study

Rickmer Braren, Lisa Steinhelfer, Matthias J. Eiber, Lukas Endrös et al.
5 citations
International Journal of Medical Informatics
Radiomics and Machine Learning in Medical Imaging
6.80
article

LLM-powered breast cancer staging from PET/CT reports: a comparative performance study

Rickmer Braren, Lisa Steinhelfer, Matthias J. Eiber, Lukas Endrös, Daniel Spitzl, Markus Mergen
article en
5 citations

Abstract

These findings underscore the ability of advanced natural language processing (NLP) technologies to support reliable cancer staging, potentially aiding clinicians. Despite the encouraging performance, prospective clinical trials and validation across diverse practice settings remain critical to confirming these preliminary outcomes. Nonetheless, this study highlights the promise of LLM-based systems in reinforcing the accuracy of oncologic workflows and lays the groundwork for broader adoption of AI-driven tools in breast cancer management.

International Journal of Medical InformaticsVol. 204
TUM Klinikum (DE), Technical University of Munich (DE)
Openalex Percentile: Top 3%
Radiomics and Machine Learning in Medical Imaging
6.80
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