Multimodal MRI radiomics for predicting HIFU ablation efficacy in uterine fibroids: a machine learning study
The XGBoost model based on multimodal MRI and clinical features may serve as a reference for predicting HIFU ablation efficacy and optimizing treatment strategies.
Authors
- Xue Zhou (ORCID: https://orcid.org/0000-0002-9365-5887)
- Yú Chen (ORCID: https://orcid.org/0000-0003-2491-3974)
- Jinyun Chen
- Yaxuan Qiu
- Meijie Yang
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
- Chongqing Medical University (CN)
Publication Details
- Journal
- International Journal of Hyperthermia
- Published
- 2026-03-11
- DOI
- https://doi.org/10.1080/02656736.2026.2642916
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00