Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	99994
Country	Malaysia

Received	2024-08-05 01:55
Peer-Review Started	2024-08-05 01:55
To Make the First Decision
Return for Revision	2024-10-20 10:57
Revised	2024-10-22 02:00
Second Decision	2024-10-24 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-10-24 06:33
Articles in Press	2024-10-24 06:33
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-11-08 06:45
Publish the Manuscript Online	2024-12-12 09:30

ISSN	1948-5204 (online)
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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Gallbladder carcinoma in the era of artificial intelligence: Early diagnosis for better treatment
Manuscript Source	Invited Manuscript
All Author List	Ismail AS Burud, Sherreen Elhariri and Nabil Eid
Funding Agency and Grant Number
Corresponding Author	Nabil Eid, MD, PhD, Associate Professor, Department of Anatomy, Division of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur 57000, Kuala Lumpur, Malaysia. nabilsaleheid@imu.edu.my
Key Words	Gallbladder carcinoma; Endoscopic ultrasound; Biopsy; Elastography; Choledochoscopy; Artificial intelligence; Non-coding RNAs; Screening; Animal models; In vitro studies
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.
Publish Date	2024-12-12 09:30
Citation	<p>Burud IA, Elhariri S, Eid N. Gallbladder carcinoma in the era of artificial intelligence: Early diagnosis for better treatment. <i>World J Gastrointest Oncol</i> 2025; 17(1): 99994</p>
URL	https://www.wjgnet.com/1948-5204/full/v17/i1/99994.htm
DOI	https://dx.doi.org/10.4251/wjgo.v17.i1.99994

Full Article (PDF)	WJGO-17-99994-with-cover.pdf
Manuscript File	99994_Auto_Edited_100458.docx
Answering Reviewers	99994-answering-reviewers.pdf
Audio Core Tip	99994-audio.mp3
Conflict-of-Interest Disclosure Form	99994-conflict-of-interest-statement.pdf
Copyright License Agreement	99994-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	99994-non-native-speakers.pdf
Peer-review Report	99994-peer-reviews.pdf
Scientific Editor Work List	99994-scientific-editor-work-list.pdf
CrossCheck Report	99994-crosscheck-report.pdf