Research progress of artificial intelligence in the precision diagnosis and treatment of adenomyosis
10.3760/cma.j.cn101441-20250317-00124
- VernacularTitle:人工智能在子宫腺肌病精准化诊疗中的研究进展
- Author:
Luping YU
1
;
Jie MEI
1
Author Information
1. 南京大学医学院附属鼓楼医院生殖医学中心，南京 210008
- Publication Type:Journal Article
- Keywords:
Adenomyosis;
Artificial intelligence;
Computer-aided diagnosis;
Deep learning;
Personalized treatment
- From:
Chinese Journal of Reproduction and Contraception
2025;45(8):837-840
- CountryChina
- Language:Chinese
-
Abstract:
Adenomyosis is a common gynecological disease in women of reproductive age, characterized by menorrhagia, dysmenorrhea, and infertility. It significantly impairs patients' quality of life and imposes a substantial healthcare burden. Due to its nonspecific clinical manifestations, traditional imaging diagnosis relies heavily on operator experience, and the heterogeneity in lesion distribution and severity among patients poses challenges to early detection and precise classification. Recent advances in artificial intelligence (AI) have demonstrated significant potential in medical imaging analysis, pathological assessment, and personalized treatment planning. Deep learning-based computer-aided diagnostic techniques can automatically identify adenomyosis features in ultrasound and magnetic resonance imaging, thereby improving diagnostic accuracy and consistency. Moreover, AI has shown emerging utility in predicting treatment responses and tailoring individualized management strategies. This review summarizes current AI applications in the diagnosis and treatment of adenomyosis, emphasizing its value in streamlining diagnostic workflows, enhancing clinical decision-making, and advancing precision medicine.
