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Articles Published Processes
9/17/2026 5:48:23 AM | Browse: 1 | Download: 0
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Received |
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2025-12-15 03:11 |
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Peer-Review Started |
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2025-12-15 03:11 |
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First Decision by Editorial Office Director |
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2026-02-14 07:31 |
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Return for Revision |
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2026-02-14 07:31 |
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Revised |
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2026-02-16 23:38 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-25 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-25 12:31 |
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Articles in Press |
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2026-03-25 12:31 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-15 09:21 |
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Publish the Manuscript Online |
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2026-09-17 05:48 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Amira A A Othman |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2026-09-17 05:48 |
| 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; 18(9): 117720
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| URL |
https://www.wjgnet.com/1948-5182/full/v18/i9/117720.htm |
| DOI |
https://doi.org/10.4254/wjh.117720 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
