Advances in the use of artificial intelligence in the diagnosis and treatment of endometriosis
10.3760/cma.j.cn101441-20241220-00485
- VernacularTitle:人工智能在子宫内膜异位症诊疗中的应用进展
- Author:
Xue SANG
1
;
Yaling FENG
;
Hongqin WU
;
Hao GU
Author Information
1. 江南大学无锡医学院，无锡 214002
- Publication Type:Journal Article
- Keywords:
Endometriosis;
Artificial intelligence;
Diagnosis;
Therapeutics
- From:
Chinese Journal of Reproduction and Contraception
2025;45(2):115-120
- CountryChina
- Language:Chinese
-
Abstract:
Endometriosis (EMS) is a chronic systemic disease prevalent in women of reproductive age. The signs and symptoms of this disease are not specific, and the severity of the disease varies, leading to clinical heterogeneity, which increases the difficulty of diagnosis. It seriously affects the quality of life of patients and also occupies a large amount of social health resources. Artificial intelligence (AI) refers to the ability of a computer technology to enable machines to simulate human intelligence, including perception, learning, reasoning, decision making and language understanding. AI serves as a powerful data-mining tool capable of processing large amounts of medical data and diagnosing, managing, and treating patients according to their specific conditions. Especially in the diagnostic process of EMS, the use of AI can improve the detection rate and shorten the diagnostic time while increasing the diagnostic sensitivity and specificity. In this paper, we provide an overview of the application of medical big data and AI to the diagnosis and treatment of EMS in order to provide new aids to further improve diagnostic efficiency and therapeutic efficacy.
