Letter to the Editor
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Jan 15, 2025; 17(1): 99994
Published online Jan 15, 2025. doi: 10.4251/wjgo.v17.i1.99994
Gallbladder carcinoma in the era of artificial intelligence: Early diagnosis for better treatment
Ismail AS Burud, Sherreen Elhariri, Nabil Eid
Ismail AS Burud, Sherreen Elhariri, Department of Surgery, Clinical Campus, IMU University, Seremban 70300, Negeri Sembilan, Malaysia
Nabil Eid, Department of Anatomy, Division of Human Biology, School of Medicine, IMU University, Kuala Lumpur 57000, Kuala Lumpur, Malaysia
Author contributions: Eid N wrote, revised and approved the final draft of the manuscript; Burud IAS and Elhariri S wrote the manuscript; All authors have read and approved the final 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: Nabil Eid, MD, PhD, Associate Professor, Senior Lecturer, Department of Anatomy, Division of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur 57000, Kuala Lumpur, Malaysia. nabilsaleheid@imu.edu.my
Received: August 5, 2024
Revised: October 22, 2024
Accepted: October 24, 2024
Published online: January 15, 2025
Processing time: 129 Days and 7.9 Hours
Core Tip

Core Tip: Gallbladder carcinoma is the most common malignant tumor of biliary tract, with poor prognosis due to its aggressive nature and limited therapeutic options. Current methods available for early screening include endoscopic ultrasound (EUS) examination, EUS-guided elastography, contrast-enhanced EUS, trans-papillary biopsy, natural orifice transluminal endoscopic surgery, magnifying endoscopy, choledochoscopy, and confocal laser endomicroscopy. Despite these established modalities, there is a need for innovative diagnostic methods, particularly the use of artificial intelligence and non-coding RNA biomarkers, to improve screening protocols and facilitate earlier disease detection.