An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy

An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy

Abstract B-ultrasound results are widely used in early pregnancy loss (EPL) prediction, but there are inevitable intra-observer and inter-observer errors in B-ultrasound results especially in early pregnancy, which lead to inconsistent assessment of embryonic status, and thus affect the judgment of...

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Bibliographic Details
Main Authors: Lijue Liu, Yuan Zang, Huimu Zheng, Siya Li, Yu Song, Xue Feng, Xiyuan Zhang, Yaoxu Li, Lulu Cao, Guanglin Zhou, Tingting Dong, Qi Huang, Teng Pan, Jinhai Deng, Danling Cheng
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Deep learning
Machine learning
Ultrasound videos
First trimester
Pregnancy loss prediction
Online Access:https://doi.org/10.1038/s41598-025-11518-5
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