AIMC Topic: Pregnancy Outcome
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Machine learning to identify endometrial biomarkers predictive of pregnancy success following artificial insemination in dairy cows†.
Biology of reproduction
Jul 12, 2024
The objective was to identify a set of genes whose transcript abundance is predictive of a cow's ability to become pregnant following artificial insemination. Endometrial epithelial cells from the uterine body were collected for RNA sequencing using ...
Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.
Briefings in bioinformatics
Nov 22, 2023
Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adverse effects on both the mother and fetus. The incidence of GDM is increasing globally, and early diagnosis is critical for timely treatment and reduc...
Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET).
Taiwanese journal of obstetrics & gynecology
Sep 1, 2022
OBJECTIVE: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and multiple preg...
Application of artificial intelligence in screening for adverse perinatal outcomes: A protocol for systematic review.
Medicine
Dec 11, 2020
The article presents a systematic review protocol. The aim of the study is an assessment of current studies regarding the application of artificial intelligence and neural networks in the screening for adverse perinatal outcomes. We intend to compare...
When two heads are better than one: nutritional epidemiology meets machine learning.
The American journal of clinical nutrition
Jun 1, 2020
Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Jul 1, 2019
OBJECTIVE: To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic ...
Predictive Value of Tests
Pregnancy Trimester, Second
Amniotic Fluid
Intensive Care Units, Neonatal
Amniocentesis
Cervical Length Measurement
Pregnancy Outcome
Proteomics
Cervix Uteri
Metabolomics
Sensitivity and Specificity
Adolescent
Ultrasonography
Humans
Artificial Intelligence
Pregnancy
Retrospective Studies
Female
Young Adult
Adult
[Updated application of artificial intelligence in reproductive medicine].
Zhonghua nan ke xue = National journal of andrology
Apr 1, 2019
With the rapid development of precision medicine and big data application, artificial intelligence (AI) has become a frontier technology in medical research. AI can be applied to the clinical diagnosis and treatment of reproductive diseases, predicti...
Two split-time artificial insemination programs in suckled beef cows.
Journal of animal science
Nov 1, 2017
Our objective was to determine which of 2 split-time AI programs applied to suckled beef cows would result in greater pregnancy risk. Suckled beef cows (n = 1,062) at 12 locations in 4 states (CO, KS, MY, and WA) were enrolled. Cows were treated on d...
[Young women with HIV infection acquired by vertical transmission: Expectations of having uninfected children].
Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
Dec 1, 2016
INTRODUCTION: Pediatric antiretroviral therapy (ART), changed the prognosis of the disease, allowing young women infected by vertical transmission (TV) to be pregnant without risk for their fetus of acquiring this infection.
Robot-assisted segmental resection of tubal pregnancy followed by end-to-end reanastomosis for preserving tubal patency and fertility: An initial report.
Medicine
Oct 1, 2016
The objective of this study was to evaluate whether robotic tubal reanastomosis after segmental resection of tubal pregnancy is a feasible means of preserving tubal integrity and natural fertility in those with compromised contralateral tubal conditi...
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