Ramoni D, Scuricini A, Carbone F, Liberale L, Montecucco F. Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice. World J Gastroenterol 2025; 31(10): 102725 [DOI: 10.3748/wjg.v31.i10.102725]
Corresponding Author of This Article
Fabrizio Montecucco, MD, PhD, Professor, Department of Internal Medicine, University of Genoa, Viale Benedetto XV 6, Genoa 16132, Italy. fabrizio.montecucco@unige.it
Research Domain of This Article
Computer Science, Artificial Intelligence
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
Davide Ramoni, Alessandro Scuricini, Federico Carbone, Luca Liberale, Fabrizio Montecucco, Department of Internal Medicine, University of Genoa, Genoa 16132, Italy
Federico Carbone, Luca Liberale, Fabrizio Montecucco, First Clinic of Internal Medicine, Department of Internal Medicine, Italian Cardiovascular Network, IRCCS Ospedale Policlinico San Martino, Genoa 16132, Italy
Author contributions: Ramoni D and Scuricini S wrote the manuscript; Carbone F and Liberale L edited and supervised the work; Montecucco F designed the drafting of the manuscript; all authors have read and approve the final manuscript.
Conflict-of-interest statement: Liberale L is coinventor on the International Patent (WO/2020/226993) filed in April 2020 relating to the use of antibodies that specifically bind interleukin-1α to reduce various sequelae of ischemia–reperfusion injury to the central nervous system. Liberale L has received speaker fees outside of this work from Daichi-Sankyo. The other authors have no conflict to disclose.
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: Fabrizio Montecucco, MD, PhD, Professor, Department of Internal Medicine, University of Genoa, Viale Benedetto XV 6, Genoa 16132, Italy. fabrizio.montecucco@unige.it
Received: October 28, 2024 Revised: January 16, 2025 Accepted: January 23, 2025 Published online: March 14, 2025 Processing time: 121 Days and 13.3 Hours
Core Tip
Core Tip: Integrating artificial intelligence (AI) in gastrointestinal diagnostics enhances early detection accuracy, offering a promising tool in precision medicine. These models, such as those employed in wireless capsule endoscopy, enable real-time identification of subtle lesions that might be missed by clinicians alone. However, the ethical implications are significant. AI systems must address data security and biases, particularly regarding equitable care across diverse patient groups. Additionally, AI should support rather than overshadow clinical judgment, maintaining the critical balance in physician-patient relationships. By focusing on these ethical pillars, AI’s role can evolve responsibly, delivering both innovative and fair diagnostics while safeguarding patient trust.
