Artificial intelligence in fetal heart rate monitoring interpretation
10.3760/cma.j.cn113903-20230826-00156
- VernacularTitle:人工智能在胎心监护判读中的应用
- Author:
Ying LIU
1
;
Wang Jun FANG
1
;
Leilei ZHANG
1
Author Information
1. 滨州医学院附属医院妇产科，滨州 256600
- Publication Type:Journal Article
- Keywords:
Fetal monitoring;
Machine learning;
Technology assessment, biomedical
- From:
Chinese Journal of Perinatal Medicine
2024;27(12):1092-1096
- CountryChina
- Language:Chinese
-
Abstract:
Fetal heart rate (FHR) monitoring remains the most common tool for continuous monitoring of the fetal state during delivery, but the analysis of FHR monitoring has often been subjected to personal interpretations, leading to potential adverse outcomes. Given the rapid advancement of artificial intelligence (AI) in the medical field in recent years, especially its application in the cardiotocography (CTG) graphic interpretation, this paper discusses the utilization of AI in the field of FHR monitoring and the accuracy of AI machine learning in the interpretation of different types of CTG graphics. Furthermore, it examines the strengths and weaknesses, development prospects, and challenges faced by AI in clinical applications, and aims to develop a more accurate, less subjective, and more reliable CTG graphic interpretation method in FHR monitoring.
