Predicting clinical pregnancy by machine learning algorithm using noninvasive embryo morphokinetics at an academic center

L Yang, M Peavey, K Kaskar, N Chappell… - Fertility and …, 2019 - fertstert.org
Objective To develop and examine the feasibility of a time-lapse microscopy (TLM)-based
assay to predict pregnancy outcomes in patient IVF cycles. Design Retrospective and …

Relationships between the developmental potential of human in-vitro fertilization embryos and features describing the embryo, oocyte and follicle

RR Saith, A Srinivasan, D Michie… - Human Reproduction …, 1998 - academic.oup.com
This paper investigates the relationship of features of in-vitro fertilization (IVF) embryos and
the associated oocyte and follicle to the outcome of transfer. It differs from previous studies in …

Which set of embryo variables is most predictive for live birth? A prospective study in 6252 single embryo transfers to construct an embryo score for the ranking and …

A Rhenman, L Berglund, T Brodin… - Human …, 2015 - academic.oup.com
STUDY QUESTION Which embryo score variables are most powerful for predicting live birth
after single embryo transfer (SET) at the early cleavage stage? SUMMARY ANSWER This …

The Graduated Embryo Score (GES) predicts blastocyst formation and pregnancy rate from cleavage-stage embryos

JD Fisch, H Rodriguez, R Ross, G Overby… - Human …, 2001 - academic.oup.com
BACKGROUND: Embryo morphology and cleavage rates alone do not consistently identify
embryos with high implantation potential following IVF. Blastocyst transfer has been reported …

O-242 comparing the performance of an artificial intelligence model for predicting embryo implantation between clinics with patient cohorts of different maternal age …

M Johansen, K Kato, S Ueno, S Palm… - Human …, 2023 - academic.oup.com
Study question Do differences in maternal age distributions contribute to the variability in the
discrimination performance of an embryo viability model based on artificial intelligence (AI) …

P-178 Time to hatching: the most predictive morphokinetic parameter for embryo implantation in machine learning algorithms following time-lapse incubation and …

L Herrero Grassa, J Ten Morro… - Human …, 2022 - academic.oup.com
Study question Which is the most predictive parameter when machine learning (ML) is
applied to a known implantation database (KID) of day 5 embryo transfer database in an egg …

Semi-automated morphometric analysis of human embryos can reveal correlations between total embryo volume and clinical pregnancy

G Paternot, S Debrock, D De Neubourg… - Human …, 2013 - academic.oup.com
STUDY QUESTION Is there a link between morphometric characteristics measured by a
computer-assisted scoring system and clinical pregnancy outcome? SUMMARY ANSWER …

Embryo Selection for IVF using Machine Learning Techniques Based on Light Microscopic Images of Embryo and Additional Factors

N Charnpinyo, K Suthicharoenpanich… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
The current process of embryo selection in In Vitro Fertilization (IVF) process is based on
morphological criteria, eg, Istanbul scoring system and manually evaluated by …

[引用][C] Preliminary evaluation of an embryo quality classification system based in a multivariate analysis of morphokinetic data from time-lapse

M Meseguer, J Herrero, A Tejera, S Perez… - Fertility and …, 2011 - fertstert.org
Preliminary evaluation of an embryo quality classification system based in a multivariate
analysis of morphokinetic data from ti Page 1 good quality blastocysts on day 6. Moreover, the …

The cumulative embryo score: a predictive embryo scoring technique to select the optimal number of embryos to transfer in an in-vitro fertilization and embryo transfer …

CV Steer, CL Mills, SL Tan, S Campbell… - Human …, 1992 - academic.oup.com
In order to achieve a clinical pregnancy rate higher than that achieved following initial
adoption of in-vitro fertilization embryo transfers, more than one embryo is transferred. This …