Performance of large language models in reporting oral health concerns and side effects in head and neck cancer: a comparative study

Despite a low overall misinformation risk, deficits in actionability highlight the need for cautious integration of LLMs into HNC patient education.

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Publication Details

Journal
Journal of Cancer Research and Clinical Oncology
Published
2025-12-20
DOI
https://doi.org/10.1007/s00432-025-06400-w
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance of large language models in reporting oral health concerns and side effects in head and neck cancer: a comparative study

Journal of Cancer Research and Clinical Oncology
Artificial Intelligence in Healthcare and Education
article

Performance of large language models in reporting oral health concerns and side effects in head and neck cancer: a comparative study

article en

Abstract

Despite a low overall misinformation risk, deficits in actionability highlight the need for cautious integration of LLMs into HNC patient education.

Journal of Cancer Research and Clinical OncologyVol. 152(1)
University Hospital Schleswig-Holstein (DE), Universitätsmedizin Göttingen (DE), University of Göttingen (DE), University of Lübeck (DE)
Openalex Percentile: Top 63%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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