Publication Name	World Journal of Hepatology
Manuscript ID	120258
Country	Canada

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Cohort Study
Article Title	Machine learning model integrating transient elastography and clinical data for prediction of graft fibrosis after liver transplantation
Manuscript Source	Unsolicited Manuscript
All Author List	Annabel Koivu, Ghazal Azarfar, Maryam Shojaee, Naomi K T Hlaing, Sameera Rizvi, Divya Sharma, Saba Maleki and Mamatha Bhat
Funding Agency and Grant Number
Corresponding Author	Annabel Koivu, MD, Department of Medicine, University Health Network, 500 University Avenue, Suite 602, Toronto ON M5G 1V7, Ontario, Canada. annabel.koivu2@uhn.ca
Key Words	Artificial intelligence; Liver transplantation; Graft fibrosis prediction; Transient elastography; Machine learning; Liver stiffness measurements
Core Tip	Accurate non-invasive assessment of graft fibrosis after liver-transplantation remains challenging. In this study, we developed an extreme gradient boosting-based machine learning model integrating transient elastography-derived liver stiffness measurements with clinical and laboratory variables to predict clinically significant graft fibrosis. The model demonstrated strong diagnostic performance and highlights the potential of multimodal data integration to improved non-invasive fibrosis assessment in transplant recipients. External validation in multicenter cohorts will be required before clinical implementation.
Citation	Koivu A, Azarfar G, Shojaee M, Hlaing NKT, Rizvi S, Sharma D, Maleki S, Bhat M. Machine learning model integrating transient elastography and clinical data for prediction of graft fibrosis after liver transplantation. World J Hepatol 2026; In press

Received	2026-02-24 09:06
Peer-Review Started	2026-02-24 09:09
First Decision by Editorial Office Director	2026-03-03 09:24
Return for Revision	2026-03-03 09:24
Revised	2026-03-15 19:53
Publication Fee Transferred
Second Decision by Editor	2026-05-29 03:06
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-29 08:00
Articles in Press	2026-05-29 08:00
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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