Liver International
Volume 45, Issue 3 e70013
LETTER TO THE EDITOR

AI-Driven MRI for Microvascular Invasion Prediction in HCC: A Reply to the Interpretable and Open AI Models HCC

Yidi Chen, 

Corresponding Author

Yidi Chen

Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China

Correspondence:

Yidi Chen ([email protected])

Bin Song ([email protected])

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Tianying Zheng, 

Tianying Zheng

Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China

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Yinan Chen, 

Yinan Chen

Department of Research, SenseTime, Shanghai, China

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Bin Song, 

Corresponding Author

Bin Song

Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China

Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China

Correspondence:

Yidi Chen ([email protected])

Bin Song ([email protected])

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First published: 24 February 2025
https://doi.org/10.1111/liv.70013

Funding: This work was funded by the National Natural Science Foundation of China (Grant No. U22A20343), the Science and Technology Department of Guangxi Zhuang Autonomous Region (Grant No. 2024JJA141068), the Hainan Provincial Department of Science and Technology (Grant No. ZDYF2024SHFZ052), the Post-doctoral Station Development Project of Sanya (Grant No. 23CZ009), the Development Project of Hainan Provincial Clinical Medical Center and the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (Grant No. ZYGD22004).

No abstract is available for this article.

Data Availability Statement

The authors have nothing to report.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.