Multimodal artificial intelligence integrates imaging, endoscopic, and omics data for intelligent decision-making in individualized gastrointestinal tumor treatment
Hui Nian, Yi-Bin Wu, Yu Bai, Zhi-Long Zhang, Xiao-Huang Tu, Qi-Zhi Liu, De-Hua Zhou, Qian-Cheng Du
Hui Nian, Zhi-Long Zhang, Qian-Cheng Du, Department of Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China
Yi-Bin Wu, Yu Bai, Department of Intensive Care Unit, Shanghai Xuhui Central Hospital, Shanghai 200031, China
Xiao-Huang Tu, Qi-Zhi Liu, De-Hua Zhou, Department of Gastrointestinal Surgery, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China
Co-corresponding authors: De-Hua Zhou and Qian-Cheng Du.
Author contributions: Nian H contributed to project conception, research design, drafting the initial manuscript, and project administration; Bai Y contributed to methodology design, formal analysis, literature curation, and critical review and revision of the manuscript; Zhang ZL and Wu YB conducted literature investigation and visualization, including figure preparation; Tu XH and Liu QZ provided resources, software support, and performed experimental validation; Zhou DH oversaw the entire research process and contributed to manuscript revision and finalization; Du QC served as the corresponding author, providing overall supervision, performing key revisions, and giving final approval of the manuscript; all authors have read and approved the final version of the manuscript. In this study, Zhou DH and Du QC are designated as co-corresponding authors for the following reasons. First, Zhou DH oversaw the entire research process, including project conception and design, data integration, and manuscript revision and finalization, thereby ensuring the methodological rigor and scientific validity of the work. Du QC also provided comprehensive oversight, contributed critical intellectual revisions, and gave final approval of the version to be published, playing a pivotal role in maintaining the manuscript’s academic quality and guiding it through the publication process. Second, the author contribution statement explicitly indicates that both "contributed equally," reflecting their parallel engagement in leadership, cross-departmental coordination-particularly between thoracic surgery and intensive care-and the integration of multi-center data. This co-corresponding arrangement not only reinforces shared accountability but also enhances transparency in interdisciplinary collaboration, aligns with international journal standards regarding corresponding authorship, and supports the credibility and reproducibility of the findings. In conclusion, the joint corresponding authorship reflects their indispensable academic leadership and equivalent scholarly contributions, thereby upholding the integrity and ethical standards of the research.
Supported by Xuhui District Health Commission, No. SHXH202214.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
https://creativecommons.org/Licenses/by-nc/4.0/ Corresponding author: Qian-Cheng Du, MD, Department of Thoracic Surgery, Shanghai Xuhui Central Hospital, No. 366 Longchuan North Road, Xuhui District, Shanghai 200031, China.
duqc1991106@sina.com
Received: October 20, 2025
Revised: November 4, 2025
Accepted: December 18, 2025
Published online: January 8, 2026
Processing time: 80 Days and 18.1 Hours
