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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Commentary on the ESMO Guidance for LLM Use in Oncology: Narrative and Process Divergences

descriptionPublicationkeyboard_double_arrow_right Preprint 20 Nov 2025 English Publisher:Zenodo
Authors: Natangelo, Stefano;

doi: 10.5281/zenodo.17664496 , 10.5281/zenodo.17664495

Commentary on the ESMO Guidance for LLM Use in Oncology: Narrative and Process Divergences

Abstract

This preprint analyzes the ESMO guidance on large language models (LLMs) in clinical oncology and examines discrepancies between the Delphi statements and the narrative section of the document. The commentary highlights issues related to scope interpretation, narrative overextension, and the limitations of stateless LLM systems within clinical decision-making frameworks.

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Keywords

Public Health Informatics, Oncology, Delphi Technique, Artificial Intelligence, Practice Guidelines as Topic, Ethics, Medical, Natural Language Processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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