中国医科大学学报2025，Vol.54Issue(5)：385-389,413,6.DOI:10.12007/j.issn.0258-4646.2025.05.001
人工智能在子宫内膜异位症诊断中的应用
Application of artificial intelligence in diagnosing endometriosis
摘要
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.关键词
子宫内膜异位症/人工智能/诊断/生物标志物/预测模型Key words
endometriosis/artificial intelligence/diagnosis/biomarker/prediction model分类
医药卫生引用本文复制引用
王煜宁,张颐..人工智能在子宫内膜异位症诊断中的应用[J].中国医科大学学报,2025,54(5):385-389,413,6.基金项目
国家重点研发计划(2018YFC1311600) （2018YFC1311600）
辽宁省重点研发项目(2024JH2/102500019) （2024JH2/102500019）
沈阳市科技计划(22-321-33-08) （22-321-33-08）
沈阳市科技创新发展专项资金(23-506-3-01-10) （23-506-3-01-10）
