Publication Name	World Journal of Gastroenterology
Manuscript ID	113059
Country	Italy

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound
Manuscript Source	Invited Manuscript
All Author List	Nicholas Viceconti, Silvia Andaloro, Mattia Paratore, Sara Miliani, Giulia D'Acunzo, Giuseppe Cerniglia, Fabrizio Mancuso, Elena Melita, Antonio Gasbarrini, Laura Riccardi and Matteo Garcovich
Funding Agency and Grant Number
Corresponding Author	Mattia Paratore, MD, Department of Medical and Surgical Sciences, Diagnostic and Interventional Ultrasound Unit, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, Rome 00168, Italy. mattia.paratore@guest.policlinicogemelli.it
Key Words	Artificial intelligence; Multiparametric ultrasound; Liver; Fibrosis; Steatosis; Shear wave elastography; Attenuation imaging; Machine-learning; Deep-learning
Core Tip	The emergence of artificial intelligence has led to its application across various fields, including hepatology and medical imaging. Its enormous potential has already been recognized and documented in numerous studies. This review explores the current application and future potential of artificial intelligence in ultrasound imaging, emphasizing its role in chronic liver disease early diagnosis and follow-up.
Citation	Viceconti N, Andaloro S, Paratore M, Miliani S, D’Acunzo G, Cerniglia G, Mancuso F, Melita E, Gasbarrini A, Riccardi L, Garcovich M. Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound. World J Gastroenterol 2025; In press

Received	2025-08-14 03:04
Peer-Review Started	2025-08-14 03:04
First Decision by Editorial Office Director	2025-09-30 09:37
Return for Revision	2025-09-30 09:37
Revised	2025-11-04 12:09
Publication Fee Transferred
Second Decision by Editor	2025-12-02 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-02 08:52
Articles in Press	2025-12-02 08:52
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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