DeepSeek-assisted LI-RADS classification: AI-driven precision in hepatocellular carcinoma diagnosis.

Journal: International journal of surgery (London, England)
Published Date: Jun 24, 2025

Abstract

BACKGROUND: The clinical utility of the DeepSeek-V3 (DSV3) model in enhancing the accuracy of Liver Imaging Reporting and Data System (LI-RADS, LR) classification remains underexplored. This study aimed to evaluate the diagnostic performance of DSV3 in LR classifications compared to radiologists with varying levels of experience and to assess its potential as a decision-support tool in clinical practice.

Authors

  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Jinpeng Liu
    Department of Oncology, Xi'an International Medical Center Hospital, Xi'an City 710000, China.
  • Mingyang Guo
    Department of Radiology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang Provine, P.R.China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wenbo Xiao
    Department of Neurology, School of Medicine, The Fourth Affiliated Hospital of Zhejiang University, Yiwu, China.
  • Feng Chen
    Department of Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

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