AIMC Topic: Ultrasonography, Prenatal
Clear Filters Showing 141 to 150 of 169 articles
[A multi-feature fusion-based model for fetal orientation classification from intrapartum ultrasound videos].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jul 20, 2025
OBJECTIVES: To construct an intelligent analysis model for classifying fetal orientation during intrapartum ultrasound videos based on multi-feature fusion.
Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US.
Radiology. Artificial intelligence
Jul 1, 2025
Purpose To develop and evaluate an artificial intelligence-based model for real-time nuchal translucency (NT) plane identification and measurement in prenatal US assessments. Materials and Methods In this retrospective multicenter study conducted fro...
Artificial intelligence in fetal brain imaging: Advancements, challenges, and multimodal approaches for biometric and structural analysis.
Computers in biology and medicine
Jun 1, 2025
Artificial intelligence (AI) is transforming fetal brain imaging by addressing key challenges in diagnostic accuracy, efficiency, and data integration in prenatal care. This review explores AI's application in enhancing fetal brain imaging through ul...
Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence.
BMC medical imaging
May 26, 2025
BACKGROUND: Microcephaly and macrocephaly, which are abnormal congenital markers, are associated with developmental and neurologic deficits. Hence, there is a medically imperative need to conduct ultrasound imaging early on. However, resource-limited...
Fetal origins of adult disease: transforming prenatal care by integrating Barker's Hypothesis with AI-driven 4D ultrasound.
Journal of perinatal medicine
May 26, 2025
INTRODUCTION: The fetal origins of adult disease, widely known as Barker's Hypothesis, suggest that adverse fetal environments significantly impact the risk of developing chronic diseases, such as diabetes and cardiovascular conditions, in adulthood....
Assessing fetal lung maturity: Integration of ultrasound radiomics and deep learning.
African journal of reproductive health
May 16, 2025
This study built a model to forecast the maturity of lungs by blending radiomics and deep learning methods. We examined ultrasound images from 263 pregnancies in the pregnancy stages. Utilizing the GE VOLUSON E8 system we captured images to extract a...
Automated Segmentation of Fetal Intracranial Volume in Three-Dimensional Ultrasound Using Deep Learning: Identifying Sex Differences in Prenatal Brain Development.
Human brain mapping
Dec 1, 2024
The human brain undergoes major developmental changes during pregnancy. Three-dimensional (3D) ultrasound images allow for the opportunity to investigate typical prenatal brain development on a large scale. Transabdominal ultrasound can be challengin...
Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings.
JAMA
Aug 27, 2024
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.
JAMA
Aug 27, 2024
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...
Data for AI in Congenital Heart Defects: Systematic Review.
Studies in health technology and informatics
Aug 22, 2024
Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review a...
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