Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions

Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions

Background: The application of artificial intelligence (AI) in medicine has advanced significantly, particularly in obstetrics, where it plays an increasingly prominent role in predicting modes of delivery and assessment of maternal risks. AI-assisted prediction of delivery modes,...

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Bibliographic Details
Main Authors:	Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou
Format:	Article
Language:	English
Published:	IMR Press 2025-07-01
Series:	Clinical and Experimental Obstetrics & Gynecology
Subjects:	artificial intelligence mode of delivery prediction cesarean section natural childbirth obstetrics machine learning
Online Access:	https://www.imrpress.com/journal/CEOG/52/7/10.31083/CEOG37807
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