DeepSeek-assisted LI-RADS classification: AI-driven precision in hepatocellular carcinoma diagnosis
The DSV3 model effectively improves diagnostic accuracy of LR-3 to LR-5 classifications among junior radiologists. Its language-independent performance and ability to match senior-level expertise suggest strong potential for clinical implementation to standardize HCC diagnosis and optimize treatment decisions.
Authors
- Mingyang Guo (ORCID: https://orcid.org/0000-0001-8800-2876)
- Feng Chen (ORCID: https://orcid.org/0000-0002-9493-4976)
- Jun Zhang (ORCID: https://orcid.org/0009-0003-9423-5213)
- Jinpeng Liu (ORCID: https://orcid.org/0000-0002-3071-4499)
- Xin Zhang (ORCID: https://orcid.org/0000-0002-0501-3439)
- Wenbo Xiao (ORCID: https://orcid.org/0000-0001-7124-1096)
Institutions
- Affiliated Hospital of Hangzhou Normal University (CN)
- United Imaging Healthcare (China) (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1097/js9.0000000000002763
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 17.63