Accuracy and reproducibility of large language model measurements of liver metastases: comparison with radiologist measurements

LLMs do not yet match radiologists in measuring colorectal cancer liver metastasis; however, Gemini's good agreement and reproducibility highlight the rapid progress of image interpretation capability of LLMs.

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Publication Details

Journal
Japanese Journal of Radiology
Published
2025-10-04
DOI
https://doi.org/10.1007/s11604-025-01884-5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Accuracy and reproducibility of large language model measurements of liver metastases: comparison with radiologist measurements

Shimpei Kato, Haruto Sugawara, A Takada
Japanese Journal of Radiology
Radiomics and Machine Learning in Medical Imaging
article

Accuracy and reproducibility of large language model measurements of liver metastases: comparison with radiologist measurements

Shimpei Kato, Haruto Sugawara, A Takada
article en

Abstract

LLMs do not yet match radiologists in measuring colorectal cancer liver metastasis; however, Gemini's good agreement and reproducibility highlight the rapid progress of image interpretation capability of LLMs.

Japanese Journal of RadiologyVol. 44(2)
Chiba University (JP), Ottawa Hospital (CA), McGill University Health Centre (CA), McGill University (CA), The University of Tokyo (JP)
National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 59%
Radiomics and Machine Learning in Medical Imaging
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