Research in early warning management system for high-risk pregnant women and artificial intelligence-based risk assessment
10.3760/cma.j.cn113903-20250625-00331
- VernacularTitle:高危孕产妇预警管理体系和基于人工智能风险评估的研究进展
- Author:
Jianqiong ZHENG
1
;
Hongping ZHANG
;
Yeping WANG
;
Xianqing HU
;
Jian HE
;
Xin HU
Author Information
1. 温州医科大学温州市第三临床学院（温州市人民医院、温州市妇幼保健院）妇产科，温州 325000
- Publication Type:Journal Article
- Keywords:
High-risk pregnant women;
Obstetric early warning management system;
Artificial intelligence
- From:
Chinese Journal of Perinatal Medicine
2025;28(10):850-855
- CountryChina
- Language:Chinese
-
Abstract:
With the adjustment of China's fertility policies, the proportion of advanced maternal age pregnancies has increased, making early identification of critical conditions in this population essential for successful treatment. This article systematically reviews the development of obstetric early warning management systems and advances in machine learning-based artificial intelligence for risk assessment in high-risk pregnant women. As artificial intelligence technology continues to evolve, future developments will include intelligent electronic medical record systems for high-risk pregnant women, generate clinical decision support solutions for early warning management, and establish coordinated critical care systems for severely ill pregnant women.
