Application of artificial intelligence in assisting ultrasonographic diagnosis of gynecological diseases
10.3760/cma.j.cn131148-20250607-00305
- VernacularTitle:人工智能在辅助超声诊断妇科疾病中的应用
- Author:
Xinling ZHANG
1
Author Information
1. 中山大学附属第三医院超声科，广州 510630
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Gynecological disease;
Artificial intelligence
- From:
Chinese Journal of Ultrasonography
2025;34(7):559-562
- CountryChina
- Language:Chinese
-
Abstract:
Gynecological diseases have a high prevalence and severely impact women's health and quality of life. Ultrasonography is the first-line imaging modality for assessing gynecological diseases. However，its diagnostic results are highly dependent on clinical experience and are subject to significant interobserver variability. In recent years，the rapid development of artificial intelligence technology has led to the construction of models based on ultrasonic images，which have demonstrated high accuracy in the identification of uterine，ovarian，and pelvic floor structures，as well as in the diagnosis，classification，and prognosis of diseases. These models hold great promise for clinical application.
