Research progress on predictive models for endometriosis
10.3760/cma.j.cn101441-20250311-00118
- VernacularTitle:子宫内膜异位症相关预测模型研究进展
- Author:
Kehan LI
1
;
Yafei WANG
1
;
Rong WANG
1
Author Information
1. 金华市人民医院生殖医学中心，金华 321000
- Publication Type:Journal Article
- Keywords:
Endometriosis;
Machine learning;
Prediction model;
Independent prognostic factor;
Infertility
- From:
Chinese Journal of Reproduction and Contraception
2025;45(5):520-525
- CountryChina
- Language:Chinese
-
Abstract:
Endometriosis is a multifactorial systemic disorder that significantly compromises women's quality of life, with particular implications for reproductive health in those of childbearing age. Predictive models have recently emerged as a critical focus on clinical research, offering valuable tools for early disease detection and evaluation of anticipated therapeutic outcomes. This comprehensive review examines current applications of predictive models in multiple clinical domains: diagnostic assessment, postoperative recurrence surveillance, malignant transformation prediction, infertility-associated factor analysis, and pregnancy outcome projection. The synthesis of these findings provides novel insights to inform clinical decision-making and advance therapeutic strategies for endometriosis management.
