AIMC Topic: Embryo Culture Techniques
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Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory.
Journal of assisted reproduction and genetics
Apr 27, 2021
Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality management system because it impacts clinical outcomes and informs the key performance indicators (KPIs) used to continuously monitor and assess culture co...
Follicle-stimulating hormone-induced rescue of cumulus cell apoptosis and enhanced development ability of buffalo oocytes.
Domestic animal endocrinology
Oct 31, 2015
The effect of follicle-stimulating hormone (FSH) on apoptotic status of cumulus cells, expression of proapoptotic and antiapoptotic genes, and development rate of in vitro fertilization-produced buffalo embryos were investigated. FSH supplementation ...
Time will tell: time-lapse technology and artificial intelligence to set time cut-offs indicating embryo incompetence.
Human reproduction (Oxford, England)
Dec 1, 2024
STUDY QUESTION: Can more reliable time cut-offs of embryo developmental incompetence be generated by combining time-lapse technology (TLT), artificial intelligence, and preimplantation genetics screening for aneuploidy (PGT-A)?
[Application of the blastomere count variations "skip value" in the embryo AI assessment].
Zhonghua fu chan ke za zhi
Jul 25, 2024
To explore the correlation between blastomere count variations "skip value" which extracted from by time-lapse technology (TLT) combined with artificial intelligence (AI) and morphological features of in vitro fertilization (IVF) embryo, and to test...
Embryologist agreement when assessing blastocyst implantation probability: is data-driven prediction the solution to embryo assessment subjectivity?
Human reproduction (Oxford, England)
Sep 30, 2022
STUDY QUESTION: What is the accuracy and agreement of embryologists when assessing the implantation probability of blastocysts using time-lapse imaging (TLI), and can it be improved with a data-driven algorithm?
Human blastocyst spontaneous collapse is associated with worse morphological quality and higher degeneration and aneuploidy rates: a comprehensive analysis standardized through artificial intelligence.
Human reproduction (Oxford, England)
Sep 30, 2022
STUDY QUESTION: What are the factors associated with human blastocyst spontaneous collapse and the consequences of this event?
A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.
Systems biology in reproductive medicine
Feb 1, 2021
The aim of this work was o construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART embryo incubated in a time lapse monitoring (TLM) system. A retrospective study was performed. For th...
Metabolic activity of human blastocysts correlates with their morphokinetics, morphological grade, KIDScore and artificial intelligence ranking.
Human reproduction (Oxford, England)
Sep 1, 2020
STUDY QUESTION: Is there a relationship between blastocyst metabolism and biomarkers of embryo viability?
Embryo through the lens: from time-lapse cinematography to artificial intelligence.
Fertility and sterility
Feb 1, 2020
"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." -Stewart Brand.
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