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Journal ArticleDOI

Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial

TLDR
Experienced embryologists using Eeva in combination with D3 morphology significantly improved their ability to identify embryos that would reach the usable blastocyst stage, and adjunctive use of morphology plus Eeva also reduced interindividual variability in embryo selection.
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This article is published in Fertility and Sterility.The article was published on 2013-08-01. It has received 261 citations till now. The article focuses on the topics: Blastocyst Transfer.

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Citations
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Journal ArticleDOI

Quality control and standardization of embryo morphology scoring and viability markers

TL;DR: Different methods for the scoring of embryos and the possibility of standardizing and implementing quality control systems are discussed.
Journal ArticleDOI

Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image.

TL;DR: To make the artificial intelligence (AI) classifiers of the image of the blastocyst implanted later in order to predict the probability of achieving live birth.
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In vitro culture of individual mouse preimplantation embryos: the role of embryo density, microwells, oxygen, timing and conditioned media

TL;DR: Single embryo culture is suboptimal compared with group culture, but necessary for embryo monitoring, and culture systems should be improved for single embryos, and embryo-conditioned media may substitute for group culture.
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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.

TL;DR: The novel proposed embryo features affect the implantation potential, and their combination with conventional morphokinetic parameters is effective as input data for a predictive model based on artificial intelligence.
Journal ArticleDOI

Time-lapse algorithms and morphological selection of day-5 embryos for transfer: a preclinical validation study.

TL;DR: Concerns are raised as to whether the tested algorithms are applicable in different clinical settings, emphasizing the need for proper external validation before clinical use.
References
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Journal ArticleDOI

Blastocyst score affects implantation and pregnancy outcome: towards a single blastocyst transfer

TL;DR: The ability to transfer one high-scoring blastocyst should lead to pregnancy rates greater than 60%, without the complication of twins, according to a retrospective review of blastocysts transfer in an IVF clinic.
Journal ArticleDOI

The use of morphokinetics as a predictor of embryo implantation

TL;DR: A multivariable model is proposed based on the findings to classify embryos according to their probability of implantation and it is proposed that the image acquisition and time-lapse analysis system makes it possible to determine exact timing of embryo cleavages in a clinical setting.
Journal ArticleDOI

Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage

TL;DR: It is found that success in progression to the blastocyst stage can be predicted with >93% sensitivity and specificity by measuring three dynamic, noninvasive imaging parameters by day 2 after fertilization, before embryonic genome activation (EGA).
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Preliminary observations on polar body extrusion and pronuclear formation in human oocytes using time-lapse video cinematography.

TL;DR: Time-lapse video cinematography is shown to be an excellent tool for studying fertilization and early embryo development, and it was found that good quality embryos arose from oocytes that had more uniform timing from injection to pronuclear abuttal and tended to have a longer cytoplasmic wave.
Journal ArticleDOI

Epigenetics and assisted reproductive technology: a call for investigation.

TL;DR: The need for investigation of two major questions is highlighted: large-scale case-control studies of ART outcomes, including long-term assessment of the incidence of birth defects and cancer, and investigation of the relationship between epigenetic errors in both offspring and parents.
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