Publication Name	World Journal of Hepatology
Manuscript ID	116233
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Advances in artificial intelligence for imaging-based diagnosis of hepatocellular carcinoma
Manuscript Source	Invited Manuscript
All Author List	Zi-Xiong Zhou, Jia-Jia Xiao and Zhong-Xing Ning
Funding Agency and Grant Number	Funding Agency Grant Number School Level Project of Guangxi Vocational and Technical College 231208
Corresponding Author	Zhong-Xing Ning, Department of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, Guangdong Province, China. 592220690@qq.com
Key Words	Hepatocellular carcinoma; Imaging-guided diagnosis; Artificial intelligence; Deep learning; Clinical translation
Core Tip	Artificial intelligence (AI) for image-guided hepatocellular carcinoma diagnosis improves sensitivity to small lesions, enables standardized quantitative readouts, and reduces reporting time, thereby complementing conventional radiology. Built on diverse imaging datasets and evolving model designs, AI has advanced across detection, segmentation, characterization, and response assessment, with early clinical uptake. Outstanding obstacles-cross-institution generalization and clinically meaningful explainability-must be resolved to achieve scalable, trustworthy deployment.
Citation	Zhou ZX, Xiao JJ, Ning ZX. Advances in artificial intelligence for imaging-based diagnosis of hepatocellular carcinoma. World J Hepatol 2026; In press

Received	2025-11-06 07:01
Peer-Review Started	2025-11-06 07:01
First Decision by Editorial Office Director	2025-11-14 06:46
Return for Revision	2025-11-14 06:46
Revised	2025-11-23 15:39
Publication Fee Transferred
Second Decision by Editor	2026-01-07 02:41
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-07 09:38
Articles in Press	2026-01-07 09:38
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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