Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study

Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study

Abstract Timely detection of abnormal cardiotocography (CTG) during labor plays a crucial role in enhancing fetal prognosis. Recent research has explored the use of deep learning for CTG interpretation, most studies rely on small, localized datasets or focus on outcomes less relevant to clinical pra...

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Main Authors: Chang Eun Park, Byungjin Choi, Rae Woong Park, Dong Wook Kwak, Hyun Sun Ko, Won Joon Seong, Hyun-Hwa Cha, Hyun Mi Kim, Jisun Lee, Hyun-Joo Seol, Seungyeon Pyeon, Soon-Cheol Hong, Yun Dan Kang, Kyung Joon Oh, Joong Shin Park, Young Nam Kim, Young Ah Kim, Yoon Ha Kim, Gwang Jun kim, Miran Kim, Hye Jin Chang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Cardiotocography
Deep learning model
Fetal monitoring
Online Access:https://doi.org/10.1038/s41598-025-02849-4
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https://doi.org/10.1038/s41598-025-02849-4

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