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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書誌詳細

主要な著者:	Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou
フォーマット:	Artigo
言語:	Inglês
出版事項:	IMR Press 2025-07-01
シリーズ:	Clinical and Experimental Obstetrics & Gynecology
主題:	artificial intelligence mode of delivery prediction cesarean section natural childbirth obstetrics machine learning
オンライン･アクセス:	https://www.imrpress.com/journal/CEOG/52/7/10.31083/CEOG37807
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