AIMC Topic: Pregnancy

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Deep learning of renal scans in children with antenatal hydronephrosis.

Journal of pediatric urology Jan 6, 2023
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnancies. Children with ANH are surveilled with repeated renal ultrasound and when there is high suspici...
Retrospective Studies Pregnancy Female Humans Prospective Studies Child Hydronephrosis Ureteral Obstruction Case-Control Studies Deep Learning
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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...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Fetus Humans Brain Pregnancy Female Infant Deep Learning
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Development of a Machine Learning Model for Sonographic Assessment of Gestational Age.

JAMA network open Jan 3, 2023
IMPORTANCE: Fetal ultrasonography is essential for confirmation of gestational age (GA), and accurate GA assessment is important for providing appropriate care throughout pregnancy and for identifying complications, including fetal growth disorders. ...
Humans Artificial Intelligence Ultrasonography Machine Learning Pregnancy Gestational Age Zambia Female Reproducibility of Results
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Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.

AJNR. American journal of neuroradiology Dec 22, 2022
BACKGROUND AND PURPOSE: Fetal brain MR imaging interpretations are subjective and require subspecialty expertise. We aimed to develop a deep learning algorithm for automatically measuring intracranial and brain volumes of fetal brain MRIs across gest...
Gestational Age Humans Female Deep Learning Brain Imaging, Three-Dimensional Retrospective Studies Pregnancy
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On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature.

BMC medical informatics and decision making Dec 19, 2022
BACKGROUND: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of the fetus or neonate. Predic...
Infant, Newborn Infant Quality of Life Child Postpartum Period Stillbirth Artificial Intelligence Pregnancy Female Infant Death Humans
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Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study.

BMC medical informatics and decision making Dec 14, 2022
BACKGROUND: Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal distress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of high false positive result f...
Cardiotocography Heart Rate, Fetal Labor, Obstetric Female Deep Learning Fetal Distress Humans Pregnancy
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Making and selecting the best embryo in the laboratory.

Fertility and sterility Dec 13, 2022
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatically, leading to higher implantation rates. This has led to a notable shift to single blastocyst transfer and the ensuing elimination of high order mu...
Pregnancy Outcome Embryo Implantation Semen Blastocyst Male Pregnancy Rate Fertilization in Vitro Pregnancy Female Humans Artificial Intelligence
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Artificial intelligence and machine learning in cardiotocography: A scoping review.

European journal of obstetrics, gynecology, and reproductive biology Dec 9, 2022
INTRODUCTION: Artificial intelligence (AI) is gaining more interest in the field of medicine due to its capacity to learn patterns directly from data. This becomes interesting for the field of cardiotocography (CTG) interpretation, since it promises ...
Female Cardiotocography Heart Rate, Fetal Observer Variation Machine Learning Humans Algorithms Artificial Intelligence Pregnancy
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A CNN-RNN unified framework for intrapartum cardiotocograph classification.

Computer methods and programs in biomedicine Dec 5, 2022
BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the fetus, is very vital for pregnant women before delivery. During pregnancy, it is crucial to judge whether the fetus is abnormal, which helps obstetric...
Fetal Monitoring Uterine Contraction Cardiotocography Heart Rate, Fetal Humans Neural Networks, Computer Pregnancy Female
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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...
Placenta Algorithms Humans Fetus Pregnancy Artificial Intelligence Female
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