Predicting abnormal fetal growth using deep learning

Predicting abnormal fetal growth using deep learning

Abstract Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during pregnancy, as being small for gestational age (SGA) or large for gestational age (LGA) poses significant risks for both the fetus and the mother. This study aimed to enhance the prediction a...

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Main Authors: Kamil Wojciech Mikołaj, Anders Nymark Christensen, Caroline Amalie Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01704-0
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https://doi.org/10.1038/s41746-025-01704-0

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