Publication Name	World Journal of Gastroenterology
Manuscript ID	114778
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Case Control Study
Article Title	Development and validation of a deep-learning-based diagnostic model for drug-induced liver injury using computed tomography images
Manuscript Source	Unsolicited Manuscript
All Author List	Shu-Yue Wang, Si-Qi Yin, Jie-Ying Yang, Ming-Yan Ji, Xiao-Qing Zeng, Sheng-Xiang Rao, Min-Zhi Lv, Jie Bao, Man-Ning Wang and Hong Gao
Funding Agency and Grant Number	Funding Agency Grant Number Science and Technique Commission of Shanghai Municipality 21Y11921800 Shanghai Municipal Health Commission 202540163
Corresponding Author	Hong Gao, Chief Physician, Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai 200032, China. gao.hong@zs-hospital.sh.cn
Key Words	Deep learning; Diagnostic model; Hepatic sinusoidal obstruction syndrome; Drug induced liver injury; Computed tomography; Pyrrolizidine alkaloids
Core Tip	This study developed the first deep learning model for diagnosing pyrrolizidine-alkaloid induced hepatic sinusoidal obstruction syndrome based on computed tomography images. The model integrates multiscale convolutional modules and an anatomy-based region of interest sampling strategy. Initial validation showed promising diagnostic performance, with potential to improve diagnostic consistency among clinicians and reduce image interpretation time, suggesting its possible utility as a clinical decision-support tool.
Citation	Wang SY, Yin SQ, Yang JY, Ji MY, Zeng XQ, Rao SX, Lv MZ, Bao J, Wang MN, Gao H. Development and validation of a deep-learning-based diagnostic model for drug-induced liver injury using computed tomography images. World J Gastroenterol 2026; In press

Received	2025-10-14 10:54
Peer-Review Started	2025-10-14 10:55
First Decision by Editorial Office Director	2025-11-14 09:21
Return for Revision	2025-11-14 09:21
Revised	2025-11-27 03:35
Publication Fee Transferred	2025-12-02 14:56
Second Decision by Editor	2026-02-02 03:01
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-02 09:51
Articles in Press	2026-02-02 09:51
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Typeset the Manuscript

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