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An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data

Published Online: 2025-07-16

Authors

Zhao, Huiyu

Miao, Chuang

Zhu, Yidi

Shu, Yijun

Wu, Xiangsong

Yin, Ziming

Deng, Xiao

Gong, Wei

Yang, Ziyi

Zou, Weiwen
Funding

Funding for this research was provided by:

Interdisciplinary Program of Shanghai Jiao Tong University (YG2022ZD009, YG2024QNA19)

Xinhua Hospital Funded Clinical Research (21XHDB10)

National Natural Science Foundation of China (No. T2225023)
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Text and Data Mining valid from 2025-07-16

Version of Record valid from 2025-07-16
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Article History

Received: 24 December 2024

Accepted: 6 June 2025

First Online: 16 July 2025

Declarations

:

: This research was approved by the Committee for Ethics of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine (SHEC-C-2022–104). Because of the retrospective nature of the study, the need for informed consent was waived by the institutional review board (Committee for Ethics of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine).

: Not applicable.

: The authors declare no competing interests.

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