AIMC Topic: Pregnancy
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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.
Acta obstetricia et gynecologica Scandinavica
Aug 10, 2023
INTRODUCTION: This study aims to investigate non-invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence.
Fetal MRI: what's new? A short review.
European radiology experimental
Aug 10, 2023
Fetal magnetic resonance imaging (fetal MRI) is usually performed as a second-level examination following routine ultrasound examination, generally exploiting morphological and diffusion MRI sequences. The objective of this review is to describe the ...
Near-infrared and hysteroscopy-guided robotic excision of uterine isthmocele with laser fiber: a novel high-precision technique.
Fertility and sterility
Aug 9, 2023
OBJECTIVE: To describe a novel high-precision technique for robotic excision of uterine isthmocele, employing a carbon dioxide laser fiber, under hysteroscopic guidance, and near-infrared guidance.
Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.
Journal of medical systems
Aug 3, 2023
This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of a data expert at the same time (The sensor is con...
Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study.
Reproductive biomedicine online
Jul 28, 2023
RESEARCH QUESTION: What is the effect of increasing training data on the performance of ongoing pregnancy prediction after single vitrified-warmed blastocyst transfer (SVBT) in a deep-learning model?
Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.
Placenta
Jul 24, 2023
INTRODUCTION: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), second(T2) and third(T3) trimesters of pregnancy using machine learning( ML).
A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis.
BMC pregnancy and childbirth
Jul 24, 2023
BACKGROUND: Laparoscopic tubal anastomosis (LTA) is a treatment for women who require reproduction after ligation, and there are no reliable prediction models or clinically useful tools for predicting clinical pregnancy in women who receive this proc...
Artificial intelligence in the service of intrauterine insemination and timed intercourse in spontaneous cycles.
Fertility and sterility
Jul 23, 2023
OBJECTIVE: To develop a machine learning model designed to predict the time of ovulation and optimal fertilization window for performing intrauterine insemination or timed intercourse (TI) in natural cycles.
Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.
Archives of gynecology and obstetrics
Jul 21, 2023
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...
Use of artificial intelligence and deep learning in fetal ultrasound imaging.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Jul 10, 2023
Deep learning is considered the leading artificial intelligence tool in image analysis in general. Deep-learning algorithms excel at image recognition, which makes them valuable in medical imaging. Obstetric ultrasound has become the gold standard im...
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