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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. May 28, 2025; 31(20): 105285
Published online May 28, 2025. doi: 10.3748/wjg.v31.i20.105285
Published online May 28, 2025. doi: 10.3748/wjg.v31.i20.105285
Advancing large language models as patient education tools for inflammatory bowel disease
Carlos M Ardila, Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia, Medellín 050010, Antioquia, Colombia
Carlos M Ardila, Department of Periodontics, Saveetha Dental College, and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Saveetha 600077, India
Daniel González-Arroyave, Department of Surgery, Universidad Pontificia Bolivariana, Medellín 050015, Antioquia, Colombia
Jaime Ramírez-Arbeláez, Department of Transplantation, Hospital San Vicente Fundación, Rionegro 054047, Antioquia, Colombia
Author contributions: Ardila CM performed the conceptualization, data curation, data analysis, manuscript writing, and revision of the manuscript; González-Arroyave D performed the data curation, data analysis, and revision of the manuscript; Ramírez-Arbeláez J performed the data curation, data analysis, and revision of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Carlos M Ardila, Department of Basic Sciences, Biomedical Stomato logy Research Group, Faculty of Dentistry, Universidad de Antioquia, No. 52-21 Calle 70, Medellín 050010, Antioquia, Colombia. martin.ardila@udea.edu.co
Received: January 17, 2025
Revised: March 20, 2025
Accepted: April 7, 2025
Published online: May 28, 2025
Processing time: 131 Days and 16.5 Hours
Revised: March 20, 2025
Accepted: April 7, 2025
Published online: May 28, 2025
Processing time: 131 Days and 16.5 Hours
Core Tip
Core Tip: Large language models offer a groundbreaking approach to patient education for inflammatory bowel disease by providing accurate, personalized, and nuanced information. This article emphasizes the need for domain-specific fine-tuning of large language models, robust evaluation metrics, and their integration into clinical workflows. Ethical concerns, such as algorithmic bias and patient data privacy, and accessibility barriers, including digital literacy gaps, are critical to address. Interdisciplinary collaboration is essential for optimizing these tools to enhance patient engagement and improve health outcomes.