AIMC Topic: Fetal Weight

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Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

BMC pregnancy and childbirth Jul 2, 2025
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.
Humans Infant, Newborn Reproducibility of Results Bias Birth Weight Fetal Weight Machine Learning Research Design Pregnancy Female
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Prediction of clinical risk factors in pregnancy using optimized neural network scheme.

Placenta Mar 4, 2025
Women should be aware of prenancy related health issues. A user-friendly model is developed in which the patients can use as well as clinicians to determine the risks associated with foetal development inside the womb, birth weight, whose effects are...
Ultrasonography, Prenatal Birth Weight Fetal Weight Algorithms Pregnancy Female Risk Factors Humans Neural Networks, Computer
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Enhancing Small-for-Gestational-Age Prediction: Multi-Country Validation of Nuchal Thickness, Estimated Fetal Weight, and Machine Learning Models.

Prenatal diagnosis Jan 16, 2025
OBJECTIVE: The first objective is to develop a nuchal thickness reference chart. The second objective is to compare rule-based algorithms and machine learning models in predicting small-for-gestational-age infants.
Adult Ultrasonography, Prenatal Malaysia Predictive Value of Tests Infant, Small for Gestational Age Singapore Fetal Weight Retrospective Studies Pregnancy Female Infant, Newborn Humans Machine Learning
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A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Jun 20, 2024
OBJECTIVE: This study aims to construct and evaluate a model to predict spontaneous vaginal delivery (SVD) failure in term nulliparous women based on machine learning algorithms.
Humans Parity Adult Predictive Value of Tests Delivery, Obstetric Fetal Weight Machine Learning Retrospective Studies Pregnancy Female Cervical Length Measurement Natural Childbirth
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Artificial intelligence assistance for fetal development: evaluation of an automated software for biometry measurements in the mid-trimester.

BMC pregnancy and childbirth Feb 23, 2024
BACKGROUND: This study presents CUPID, an advanced automated measurement software based on Artificial Intelligence (AI), designed to evaluate nine fetal biometric parameters in the mid-trimester. Our primary objective was to assess and compare the CU...
Biometry Fetal Development Fetal Weight Ultrasonography, Prenatal Infant Fetus Gestational Age Humans Artificial Intelligence Software Prospective Studies Pregnancy Female Reproducibility of Results Cross-Sectional Studies
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Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound.

American journal of obstetrics & gynecology MFM Oct 10, 2023
BACKGROUND: Fetal weight is currently estimated from fetal biometry parameters using heuristic mathematical formulas. Fetal biometry requires measurements of the fetal head, abdomen, and femur. However, this examination is prone to inter- and intraob...
Reproducibility of Results Deep Learning Abdomen Fetal Weight Humans Retrospective Studies Pregnancy Female
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Deep learning-based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility.

European radiology Sep 2, 2023
OBJECTIVES: To develop a deep-learning method for whole-body fetal segmentation based on MRI; to assess the method's repeatability, reproducibility, and accuracy; to create an MRI-based normal fetal weight growth chart; and to assess the sensitivity ...
Infant Deep Learning Magnetic Resonance Imaging Birth Weight Fetal Growth Retardation Fetal Weight Infant, Small for Gestational Age Female Infant, Newborn Humans Fetus Reproducibility of Results Retrospective Studies Gestational Age Ultrasonography, Prenatal Pregnancy
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Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use.

Pediatric cardiology Nov 5, 2022
Magnetic resonance imaging (MRI) provides images for estimating fetal volume and weight, but manual delineations are time consuming. The aims were to (1) validate an algorithm to automatically quantify fetal volume by MRI; (2) compare fetal weight by...
Magnetic Resonance Imaging Fetus Gestational Age Humans Deep Learning Fetal Weight
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Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

BMC pregnancy and childbirth Mar 2, 2021
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information.
Delivery, Obstetric Body Size Prenatal Diagnosis Fetal Weight Predictive Value of Tests Birth Weight Gestational Age Pregnancy Trimester, Third Prognosis Infant, Newborn Retrospective Studies Adult Republic of Korea Ultrasonography, Prenatal Pregnancy Humans Body Mass Index Female Neural Networks, Computer Machine Learning
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Fetal Weight Extraction, Obstetrical Trial of Labor Uterine Rupture Risk Factors Vaginal Birth after Cesarean Head Organ Size Adult Female Gestational Age Humans Risk Assessment Area Under Curve Infant, Newborn Delivery, Obstetric Machine Learning ROC Curve Tertiary Care Centers Cesarean Section Apgar Score Retrospective Studies Feasibility Studies Parity Pregnancy
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