I thank the Editor-in-Chief, editorial team, and peer reviewers of World Journal of Hepatology for their valuable feedback and for the opportunity to publish this editorial. Their input strengthened the manuscript and helped clarify its key message: that machine learning for variceal bleeding prognostication must move beyond accuracy toward interpretability, fairness, workflow integration, and rigorous external validation. I am grateful to the journal for supporting this timely discussion and hope it encourages further progress in translating AI tools safely to the bedside.