Publication Name	World Journal of Gastroenterology
Manuscript ID	118412
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	From data integration to precision intelligence: The morphological-functional integration pathway of the hepatic alveolar echinococcosis surgical decision system
Manuscript Source	Unsolicited Manuscript
All Author List	Tie Deng, Yan-Mei Feng, Chuan-Ming Li and Jun-Bang Feng
Funding Agency and Grant Number
Corresponding Author	Jun-Bang Feng, Medical Imaging Department, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing University Central Hospital, Chongqing, 400014, Chongqing Province, China, chongqing 400017, China. junbangfeng@cqu.edu.cn
Key Words	Hepatic alveolar echinococcosis; Machine learning; Morphology-function; Multimodal data; Surgical
Core Tip	Research by Zhu et al has laid the foundation for applying machine learning to preoperative assessment of hepatic alveolar echinococcosis. However, current models exhibit limited performance improvement due to insufficient variables and data. Future efforts should integrate “morphological” and “functional” information to develop more reliable next-generation predictive models.
Citation	Deng T, Feng YM, Li CM, Feng JB. From data integration to precision intelligence: The morphological-functional integration pathway of the hepatic alveolar echinococcosis surgical decision system. World J Gastroenterol 2026; In press

Received	2026-01-04 07:33
Peer-Review Started	2026-01-04 07:34
First Decision by Editorial Office Director	2026-01-27 09:31
Return for Revision	2026-01-27 09:31
Revised	2026-02-04 05:46
Publication Fee Transferred
Second Decision by Editor	2026-02-12 02:50
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-12 08:10
Articles in Press	2026-02-12 08:10
Edit the Manuscript by Language Editor
Typeset the Manuscript

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