Large language model for interpreting the Paris classification of colorectal polyps

M-LLMs performed comparably to endoscopists in distinguishing non-polypoid from polypoid lesions but failed to reliably identify pedunculated morphology.

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Publication Details

Journal
Endoscopy International Open
Published
2025-10-09
DOI
https://doi.org/10.1055/a-2703-0209
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Large language model for interpreting the Paris classification of colorectal polyps

Elena Demomi, Cesare Hassan, Daniel von Renteln, Victor Savevski et al.
Endoscopy International Open
Colorectal Cancer Screening and Detection
article

Large language model for interpreting the Paris classification of colorectal polyps

Elena Demomi, Cesare Hassan, Daniel von Renteln, Victor Savevski, Alessandro Repici, Giulio Antonelli, Davide Massimi, Sravanthi Parasa, Roberto de Sire, Michael Bretthauer, Chiara Lena, Tommy Rizkala, Marco Spadaccini, L Di Stefano, Ludovico Alfarone, Susanne M. O’Reilly, Raf Bisschops, Alessandro D'aprano, Yuichi Mori, Prateek Sharma, Luigi Carlini, Douglas K. Rex
article en

Abstract

M-LLMs performed comparably to endoscopists in distinguishing non-polypoid from polypoid lesions but failed to reliably identify pedunculated morphology.

Endoscopy International OpenVol. 13(CP)
Oslo University Hospital (NO), Humanitas University (IT), University of Kansas (US), University of Oslo (NO), Swedish Medical Center (US), SHOWA Medical University Northern Yokohama Hospital (JP), St. Vincent's University Hospital (IE), Centre Hospitalier de l’Université de Montréal (CA), Kansas City VA Medical Center (US), Ospedale Eugenio Morelli (IT), IRCCS Humanitas Research Hospital (IT), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Politecnico di Milano (IT), KU Leuven (BE)
Openalex Percentile: Top 61%
Colorectal Cancer Screening and Detection
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