Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study
This study successfully utilized clinical blood biomarkers to construct an artificial intelligence model for predicting distant metastasis in breast cancer, demonstrating high accuracy. This suggests potential clinical utility in predicting and identifying distant metastasis in breast cancer. These findings underscore the potential prospect of developing economically efficient and readily accessible predictive tools in clinical oncology.
Authors
- Yuemei Zhang (ORCID: https://orcid.org/0000-0003-3555-4524)
- Qixing Tan (ORCID: https://orcid.org/0000-0002-8092-7740)
- Changyuan Wei (ORCID: https://orcid.org/0000-0001-6517-398X)
- Wenhai Zhang (ORCID: https://orcid.org/0009-0001-7381-3462)
- Yang Tan (ORCID: https://orcid.org/0009-0004-7261-1705)
- Zhen Huang
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- BMC Women s Health
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1186/s12905-024-03264-z
- Citations
- 7
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 2.00
Funders
- National Natural Science Foundation of China