Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus

Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus

BackgroundTo explore the predictive value of placental features in early pregnancy for gestational diabetes mellitus (GDM) using deep and radiomics-based machine learning (ML) applied to ultrasound imaging (USI), and to develop a nomogram in conjunction with clinical features.MethodsThis retrospecti...

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Bibliographic Details
Main Authors: Huien Zhou, Wanming Chen, Chen Chen, Yanying Zeng, Jialin Chen, Jianru Lin, Kun He, Xinmin Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Endocrinology
Subjects:
gestational diabetes mellitus
placenta
ultrasound imaging
early pregnancy
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1344666/full

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https://www.frontiersin.org/articles/10.3389/fendo.2024.1344666/full

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