Optimizing evaluation of endometrial receptivity in recurrent pregnancy loss: a preliminary investigation integrating radiomics from multimodal ultrasound via machine learning
Integrating ML with radiomics from multimodal endometrial ultrasound during the WOI effectively identifies RPL patients. The XGBoost model, merging radiomic and clinical data, offers a non-invasive, accurate method for RPL management, significantly enhancing diagnosis and treatment.
Authors
- Zhuyu Zhou
- Wanqing Liu (ORCID: https://orcid.org/0000-0001-7727-6900)
- Fei Xiong (ORCID: https://orcid.org/0000-0001-7839-4271)
- Yanfen Xin
- Shanling Yan
Institutions
- Deyang Stomatological Hospital (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2024-08-20
- DOI
- https://doi.org/10.3389/fendo.2024.1380829
- Citations
- 6
- Primary Topic
- Reproductive System and Pregnancy
- Type
- article
- Field-Weighted Citation Impact
- 1.44