Publication Name	World Journal of Gastroenterology
Manuscript ID	119370
Country	Greece

Category	Surgery
Manuscript Type	Letter to the Editor
Article Title	From prediction to clinical decision-making: Explainable machine learning in acute suppurative cholecystitis
Manuscript Source	Invited Manuscript
All Author List	Maria Kapritsou
Funding Agency and Grant Number
Corresponding Author	Maria Kapritsou, Deputy Director, PhD, Postdoc, Nursing Directorate, Hellenic Anticancer Institute, Saint Savvas Hospital, Av Alexandras 171, Athens 11522, Greece. mariakaprit@gmail.com
Key Words	Acute suppurative cholecystitis; Explainable machine learning; Clinical decision-making; Radiomics; Surgical prioritization; Perioperative care
Core Tip	Early and accurate identification of acute suppurative cholecystitis is essential for timely surgical intervention and improved outcomes. Explainable machine learning models that integrate clinical and radiomic data provide transparent risk stratification, supporting surgical decision-making and perioperative prioritization. When embedded into multidisciplinary care pathways, such tools may enhance patient safety and real-world management of acute biliary disease.
Citation	Kapritsou M. From prediction to clinical decision-making: Explainable machine learning in acute suppurative cholecystitis. World J Gastroenterol 2026; In press

Received	2026-01-26 01:01
Peer-Review Started	2026-01-26 01:03
First Decision by Editorial Office Director	2026-02-14 07:50
Return for Revision	2026-02-14 07:50
Revised	2026-02-23 12:10
Publication Fee Transferred
Second Decision by Editor	2026-03-10 02:43
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-03-10 10:14
Articles in Press	2026-03-10 10:14
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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