AIMC Topic: Blastocyst
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Seeking arrangements: cell contact as a cleavage-stage biomarker.
Reproductive biomedicine online
Nov 3, 2023
RESEARCH QUESTION: What can three-dimensional cell contact networks tell us about the developmental potential of cleavage-stage human embryos?
The neglected emotional drawbacks of the prioritization of embryos to transfer.
Reproductive biomedicine online
Oct 14, 2023
In recent years, increasing efforts have been made to develop advanced techniques that could predict the potential of implantation of each single embryo and prioritize the transfer of those at higher chance. The most promising include non-invasive pr...
Identifying predictors of Day 5 blastocyst utilization rate using an artificial neural network.
Reproductive biomedicine online
Sep 10, 2023
RESEARCH QUESTION: Can artificial intelligence identify predictors of an increased Day 5 blastocyst utilization rate (D5BUR), which is one of the most informative key performance indicators in an IVF laboratory?
An artificial intelligence algorithm for automated blastocyst morphometric parameters demonstrates a positive association with implantation potential.
Scientific reports
Sep 5, 2023
Blastocyst selection is primarily based on morphological scoring systems and morphokinetic data. These methods involve subjective grading and time-consuming techniques. Artificial intelligence allows for objective and quick blastocyst selection. In t...
Interpretable artificial intelligence-assisted embryo selection improved single-blastocyst transfer outcomes: a prospective cohort study.
Reproductive biomedicine online
Sep 1, 2023
RESEARCH QUESTION: What is the pregnancy and neonatal outcomes of an interpretable artificial intelligence (AI) model for embryo selection in a prospective clinical trial?
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?
Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning.
Journal of assisted reproduction and genetics
Jul 10, 2023
PURPOSE: This article aims to assess how differences in maternal age distributions between IVF clinics affect the performance of an artificial intelligence model for embryo viability prediction and proposes a method to account for such differences.
Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.
Fertility and sterility
Jun 30, 2023
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction of embryo ploidy status for preimplantation genetic testing in in vitro fertilization procedures. The current gold standard, preimplantation genetic te...
How should the best human embryo in vitro be? Current and future challenges for embryo selection.
Minerva obstetrics and gynecology
Jun 16, 2023
In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live birth. To maximize IVF efficiency, it is critical to identify and transfer the most competent embryo within a cohort produced by a couple during a cy...
An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.
Scientific data
May 11, 2023
Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess this potent...
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