AIMC Topic: Blastocyst
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Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos.
Fertility and sterility
Jan 5, 2022
OBJECTIVE: To perform a series of analyses characterizing an artificial intelligence (AI) model for ranking blastocyst-stage embryos. The primary objective was to evaluate the benefit of the model for predicting clinical pregnancy, whereas the second...
Inter-centre reliability in embryo grading across several IVF clinics is limited: implications for embryo selection.
Reproductive biomedicine online
Oct 6, 2021
RESEARCH QUESTION: What is the intra- and inter-centre reliability in embryo grading performed according to the Istanbul Consensus across several IVF clinics?
Should there be an "AI" in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm.
Journal of assisted reproduction and genetics
Sep 17, 2021
PURPOSE: A deep learning artificial intelligence (AI) algorithm has been demonstrated to outperform embryologists in identifying euploid embryos destined to implant with an accuracy of 75.3% (1). Our aim was to evaluate the performance of highly trai...
A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.
Fertility and sterility
Jul 10, 2021
OBJECTIVE: To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.
Therapy, Computer-Assisted
Sperm Injections, Intracytoplasmic
Infertility
Oocyte Retrieval
Fertility Agents, Female
Decision Trees
Blastocyst
Fertility
Ovulation Induction
Time Factors
Embryo Transfer
Pregnancy Outcome
Treatment Outcome
Humans
Machine Learning
Female
Adult
Male
Clinical Decision-Making
Pregnancy
Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.
Fertility and sterility
Jul 8, 2021
OBJECTIVE: To analyze the performance of an annotation-free embryo scoring system on the basis of deep learning for pregnancy prediction after single vitrified blastocyst transfer (SVBT) compared with the performance of other blastocyst grading syste...
Pregnancy Rate
Cryopreservation
Fertilization in Vitro
Treatment Outcome
Female
Adult
Middle Aged
Deep Learning
Heart Rate, Fetal
Maternal Age
Embryo Culture Techniques
Time-Lapse Imaging
Infertility
Embryo Implantation
Predictive Value of Tests
Blastocyst
Image Interpretation, Computer-Assisted
Humans
Retrospective Studies
Pregnancy
Single Embryo Transfer
Vitrification
Embryo selection with artificial intelligence: how to evaluate and compare methods?
Journal of assisted reproduction and genetics
Jun 26, 2021
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent year...
End-to-end deep learning for recognition of ploidy status using time-lapse videos.
Journal of assisted reproduction and genetics
May 22, 2021
PURPOSE: Our retrospective study is to investigate an end-to-end deep learning model in identifying ploidy status through raw time-lapse video.
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...
Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF.
Journal of assisted reproduction and genetics
Apr 3, 2021
In vitro fertilization has been regarded as a forefront solution in treating infertility for over four decades, yet its effectiveness has remained relatively low. This could be attributed to the lack of advancements for the method of observing and se...
Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring.
Communications biology
Mar 26, 2021
Approaches to reliably predict the developmental potential of embryos and select suitable embryos for blastocyst culture are needed. The development of time-lapse monitoring (TLM) and artificial intelligence (AI) may help solve this problem. Here, we...
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