Artificial intelligence empowering obstetrics: challenges and directions
10.3760/cma.j.cn113903-20250705-00364
- VernacularTitle:人工智能赋能产科发展：挑战与方向
- Author:
Fang HE
1
;
Dunjin CHEN
Author Information
1. 广州医科大学附属第三医院妇产科，广州 510150
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Obstetrics;
Prenatal diagnosis;
Pregnancy complications;
Medical ethics
- From:
Chinese Journal of Perinatal Medicine
2025;28(10):823-828
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence (AI), as a cutting-edge technology, is profoundly transforming obstetric practice. This review systematically summarizes how AI, through machine learning and deep learning algorithms, can efficiently process multi-source heterogeneous data, significantly improving the predictive accuracy of common complications such as preterm birth, gestational diabetes mellitus, and preeclampsia. It also facilitates the ultrasonographic recognition of fetal structural anomalies and automated biometric measurements, while providing more objective analysis of fetal heart rate monitoring. Concurrently, this article critically examines the challenges currently facing AI applications in obstetrics, including issues related to data quality and privacy protection, model interpretability, algorithmic fairness, accountability, and doctor-patient relationships, proposing corresponding strategies to address them. Future directions include multi-modal data fusion, the application of large language models, advancements in remote monitoring technologies, and interdisciplinary talent development. Despite numerous challenges, with ongoing technological evolution and improvements in ethical regulations, AI is expected to become deeply integrated into obstetric clinical workflows, offering sustained momentum for enhancing maternal and infant health outcomes.
