AIMC Topic: Fetus
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Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.
Fetal diagnosis and therapy
Aug 11, 2023
INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images.
Smart ICV™ versus VOCAL™ in fetal brain volume assessment: Can we begin to trust artificial intelligence in clinical practice?
Journal of clinical ultrasound : JCU
Jul 10, 2023
Review on deep learning fetal brain segmentation from Magnetic Resonance images.
Artificial intelligence in medicine
Jun 10, 2023
Brain segmentation is often the first and most critical step in quantitative analysis of the brain for many clinical applications, including fetal imaging. Different aspects challenge the segmentation of the fetal brain in magnetic resonance imaging ...
Fetal brain activity and the free energy principle.
Journal of perinatal medicine
Apr 26, 2023
OBJECTIVES: To study whether the free energy principle can explain fetal brain activity and the existence of fetal consciousness via a chaotic dimension derived using artificial intelligence.
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution.
Computers in biology and medicine
Apr 21, 2023
CTG (Cardiotocography) is an effective tool for fetal status assessment. Clinically, doctors mainly evaluate the health of fetus by observing FHR (fetal heart rate). The rapid development of Artificial Intelligence has led realization of computer-aid...
Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs.
Sensors (Basel, Switzerland)
Jan 6, 2023
Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in the developing fetus. Manual segmentation of fetal brain tissue is cumbersome and time-consuming, so using an automatic segmentation method can great...
Application of Digital Imaging and Artificial Intelligence to Pathology of the Placenta.
Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
Nov 30, 2022
Digital imaging, including the use of artificial intelligence, has been increasingly applied to investigate the placenta and its related pathology. However, there has been no comprehensive review of this body of work to date. The aim of this study wa...
Artificial intelligence to understand fluctuation of fetal brain activity by recognizing facial expressions.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Nov 26, 2022
OBJECTIVE: To examine whether artificial intelligence can achieve discoveries regarding fetal brain activity.
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...
How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.
Computer methods and programs in biomedicine
Oct 2, 2022
PURPOSE: To investigate if artificial intelligence can identify fetus intracranial structures in pregnancy week 11-14; to provide an automated method of standard and non-standard sagittal view classification in obstetric ultrasound examination METHOD...
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