Application of artificial intelligence in diagnosing endometriosis
10.12007/j.issn.0258-4646.2025.05.001
- VernacularTitle:人工智能在子宫内膜异位症诊断中的应用
- Author:
Yuning WANG
1
;
Yi ZHANG
1
Author Information
1. 中国医科大学附属第一医院妇科,沈阳 110001
- Publication Type:Journal Article
- Keywords:
endometriosis;
artificial intelligence;
diagnosis;
biomarker;
prediction model
- From:
Journal of China Medical University
2025;54(5):385-389,413
- CountryChina
- Language:Chinese
-
Abstract:
Endometriosis is an estrogen-dependent chronic inflammatory disease that affects 5%to 10%of women of reproductive age worldwide.Its typical symptoms include dysmenorrhea,infertility,and chronic pelvic pain,which seriously affect quality of life.The tradi-tional diagnostic methods include ultrasonography,magnetic resonance imaging,and laparoscopy.Among these,laparoscopy is considered the gold standard for diagnosis.However,its invasive nature limits its widespread application.Recently,artificial intelligence has rapidly advanced in the diagnosis of endometriosis,significantly improving the accuracy and efficiency of early diagnosis by integrating imaging,clinical data,and biomarkers.This article summarizes the limitations of traditional diagnostic methods for endometriosis and the advance-ments in the application of artificial intelligence in the diagnosis of endometriosis,while exploring the potential of artificial intelligence using practical case studies.
