A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings
GPT-4o identifies the key CT features of ovarian cancer and achieves promising diagnostic accuracy with high-quality diagnostic evidence.
Authors
- Bosinan Chen
- Qiuyang Hou
- Zhuonan Liu
- Jiangdian Song (ORCID: https://orcid.org/0000-0002-3355-9930)
- Shimin Zhang (ORCID: https://orcid.org/0009-0001-2868-5078)
- Zhao Lu
- Xin Zhou
- Jingyi Liu
- Xiaogeng Li
- Mufei Ding
- Yuming Zhu
- Gang Dai
- Kexue Deng
Institutions
- University of Science and Technology of China (CN)
- First Hospital of China Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Annals of Surgical Oncology
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1245/s10434-026-19248-2
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Department of Education of Liaoning Province
- Scientific Research Fund of Liaoning Provincial Education Department
- National Science and Technology Major Project