Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries

ChatGPT showed strong ability to answer CRC screening questions across multiple languages, supporting its promise as a multilingual patient education tool. Nonetheless, regional variability requires careful validation before clinical integration.

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Publication Details

Journal
Digestive and Liver Disease
Published
2025-12-22
DOI
https://doi.org/10.1016/j.dld.2025.11.026
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 addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries

A Vitello, H Uchima, D. A., Morais Junior R R et al.
Digestive and Liver Disease
Artificial Intelligence in Healthcare and Education
article

Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries

A Vitello, H Uchima, D. A., Morais Junior R R, G Z E K E R E S, Rath T, Grimaldi J, Bouberra D, Pawlak KM, Degroote H, Nobre R, Maida M, Santos-Antunes J, Zuchelli T, Legros R, Mostafa I, Dang QDH, Pal P, Conroy G, Khurelbaatar T, Voiosu A, Baraldo S, Rimondi A, Aguila EJT, Hang DV, Maida CD, Mwachiro M, Maulahela H, Okubo Y, Sang Hyub Lee, Lau LHS, Luvsandagva B, Lakkasani S, Papaefthymiou A, Taiymi A, Heinrich H, Düzenli T, Voiosu T, Gameel A, Sudovykh I, Maas MHJ
article en

Abstract

ChatGPT showed strong ability to answer CRC screening questions across multiple languages, supporting its promise as a multilingual patient education tool. Nonetheless, regional variability requires careful validation before clinical integration.

Digestive and Liver DiseaseVol. 58(2)
Ministry of Internal Affairs of the Republic of Tajikistan (TJ), The University of Sydney (AU), Radboud University Nijmegen (NL), Mansoura University (EG), University of Batna 1 (DZ), Chinese University of Hong Kong (HK), Sechenov University (RU), Università degli Studi di Enna Kore (IT), Hitit Üniversitesi (TR), Cho Ray Hospital (VN), University Hospital of Basel (CH), Seoul National University Hospital (KR), Radboud University Medical Center (NL), Henry Ford Hospital (US), Mongolian National University (MN), Hospital de São João (PT), Universitätsklinikum Erlangen (DE), Instituto do Câncer do Estado de São Paulo (BR), Hospital de Câncer de Barretos (BR), Mongolian National University of Medical Sciences (MN), Hospices Civils de Lyon (FR), Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT), University Hospital of Larissa (GR), Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux (FR), St. Luke's Medical Center (PH), Université Mohammed VI des Sciences et de la Santé (MA), Universitair Ziekenhuis Brussel (BE), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (ES), Nini Hospital (LB), Asian Institute of Gastroenterology (IN), Osaka International Cancer Institute (JP), Hanoi Medical University Hospital (VN), Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID), East, Central and Southern Africa Health Community (TZ), Robert Wood Johnson Foundation (US), Université de Limoges (FR), Pomeranian Medical University (PL), Theodor Bilharz Research Institute (EG)
Quality Education
Openalex Percentile: Top 41%
Artificial Intelligence in Healthcare and Education
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