BPG is committed to discovery and dissemination of knowledge
Articles in Press
3/25/2026 12:31:07 PM | Browse: 0 | Download: 0
Publication Name World Journal of Hepatology
Manuscript ID 117720
Country Egypt
Category Gastroenterology & Hepatology
Manuscript Type Editorial
Article Title From algorithm to bedside: Navigating the promise and perils of implementing machine learning for variceal bleeding mortality prediction
Manuscript Source Invited Manuscript
All Author List Amira A A Othman
Funding Agency and Grant Number
Corresponding Author Amira A A Othman, Lecturer, MD, PhD, Principal Investigator, Department of Internal Medicine, Suez University, Cairo-Suez Road, Suez 43511, Egypt. amira.othman@med.suezuni.edu.eg
Key Words Artificial intelligence; Clinical decision support systems; Implementation science; Health equity; Prognostication; Cirrhosis complications
Core Tip Machine learning is transitioning from theoretical promise to practical implementation within hepatology, particularly in high-risk conditions such as acute esophageal variceal bleeding. The study by Rech et al distinguishes itself by combining high-performing mortality prediction with prospective validation and real-world deployment as an online calculator. This editorial highlights why such efforts represent an important step toward bridging the persistent gap between algorithm development and clinical adoption. Yet we also explore the remaining challenges-model interpretability, ethical complexities surrounding race-based predictors, workflow integration, model drift, and the need for multicenter external validation. Understanding these dimensions is crucial for translating artificial intelligence into safer, more equitable, and genuinely impactful tools at the bedside.
Citation Othman AAA. From algorithm to bedside: Navigating the promise and perils of implementing machine learning for variceal bleeding mortality prediction. World J Hepatol 2026; In press
Received
2025-12-15 03:11
Peer-Review Started
2025-12-15 03:11
First Decision by Editorial Office Director
2026-02-14 07:31
Return for Revision
2026-02-14 07:31
Revised
2026-02-16 23:38
Publication Fee Transferred
Second Decision by Editor
2026-03-25 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-03-25 12:31
Articles in Press
2026-03-25 12:31
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5182 (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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com