AIMC Topic: Pregnancy

Clear Filters Showing 701 to 710 of 1122 articles

Robotic Hysteroscopy: Sounds Crazy, No?

Journal of minimally invasive gynecology Sep 14, 2020
Robotics Robotic Surgical Procedures Hysteroscopy Humans Pregnancy Female Endoscopy
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Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

Fertility and sterility Sep 8, 2020
OBJECTIVE: To describe novel embryo features capable of predicting implantation potential as input data for an artificial neural network (ANN) model.
Fertilization in Vitro Treatment Outcome Embryo Implantation Predictive Value of Tests Female Time Factors Pregnancy Rate Time-Lapse Imaging Infertility Single Embryo Transfer Oocyte Donation Blastocyst Fertility Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Retrospective Studies Pregnancy
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Classifying the type of delivery from cardiotocographic signals: A machine learning approach.

Computer methods and programs in biomedicine Aug 18, 2020
BACKGROUND AND OBJECTIVE: Cardiotocography (CTG) is the most employed methodology to monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and hence qualitative and too subjective, some automated methods have been int...
Humans Female Machine Learning Cesarean Section Cardiotocography Software Algorithms Pregnancy
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Deep learning-based fetoscopic mosaicking for field-of-view expansion.

International journal of computer assisted radiology and surgery Aug 17, 2020
PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat twin-to-twin transfusion syndrome (TTTS), which involves localization and ablation of abnormal vascular connections on the placenta to regulate the bl...
Fetoscopy Humans Laser Coagulation Computer Simulation Deep Learning Pregnancy Placenta Female Phantoms, Imaging Fetofetal Transfusion
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Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries.

BMJ open Aug 16, 2020
OBJECTIVES: To explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.
Deep Learning Child Developing Countries Child Mortality Neural Networks, Computer Pregnancy Female Cross-Sectional Studies Humans
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Diagnosis of diabetes in pregnant woman using a Chaotic-Jaya hybridized extreme learning machine model.

Journal of integrative bioinformatics Aug 13, 2020
As stated by World Health Organization (WHO) report, 246 million individuals have suffered with diabetes disease over worldwide and it is anticipated that by 2025 this estimation can cross 380 million. So, the proper and quick diagnosis of this disea...
Pregnant People Diabetes Mellitus Algorithms Pregnancy Female Humans Neural Networks, Computer Machine Learning
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Machine learning vs. classic statistics for the prediction of IVF outcomes.

Journal of assisted reproduction and genetics Aug 11, 2020
PURPOSE: To assess whether machine learning methods provide advantage over classic statistical modeling for the prediction of IVF outcomes.
Humans Machine Learning Fertilization in Vitro Logistic Models Oocytes Fertility Pregnancy Female Adult Ovulation Induction Live Birth Oocyte Retrieval
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Empathetic application of machine learning may address appropriate utilization of ART.

Reproductive biomedicine online Jul 15, 2020
The value of artificial intelligence to benefit infertile patients is a subject of debate. This paper presents the experience of one aspect of artificial intelligence, machine learning, coupled with patient empathy to improve utilization of assisted ...
Counseling Pregnancy Female Infertility Male Humans Reproductive Techniques, Assisted Artificial Intelligence Machine Learning
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Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease.

Journal of the American Heart Association Jul 14, 2020
Background Women with congenital heart disease are considered at high risk for adverse events. Therefore, we aim to establish 2 prediction models for mothers and their offspring, which can predict the risk of adverse events occurred in pregnant women...
Risk Assessment China Adolescent Pregnancy Complications Logistic Models Young Adult Machine Learning Humans Heart Defects, Congenital Adult Pregnancy Middle Aged Female Infant, Newborn
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Image Interpretation, Computer-Assisted Gestational Age Double Outlet Right Ventricle Fetal Heart Echocardiography, Four-Dimensional Spatio-Temporal Analysis Diagnosis, Computer-Assisted Artificial Intelligence Predictive Value of Tests Young Adult Pregnancy Anatomic Landmarks Humans Adult Female Ultrasonography, Prenatal Reproducibility of Results
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