AIMC Topic: Embryo Transfer
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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.
Fertility Agents, Female
Therapy, Computer-Assisted
Pregnancy
Sperm Injections, Intracytoplasmic
Time Factors
Humans
Female
Infertility
Embryo Transfer
Machine Learning
Adult
Oocyte Retrieval
Pregnancy Outcome
Clinical Decision-Making
Male
Treatment Outcome
Decision Trees
Blastocyst
Fertility
Ovulation Induction
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...
Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth.
Reproductive biomedicine online
May 15, 2021
RESEARCH QUESTION: Can artificial intelligence (AI) improve the prediction of live births based on embryo images?
Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation.
Reproductive biomedicine online
Jul 5, 2020
RESEARCH QUESTION: Can a deep machine learning artificial intelligence algorithm predict ploidy and implantation in a known data set of static blastocyst images, and how does its performance compare against chance and experienced embryologists?
Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning.
Scientific reports
Mar 10, 2020
Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We developed an algorithm based on artificial vision and machine learning (and other classifiers) that predicts pregnancy using the beta human chorionic gonadot...
Secretion of equine chorionic gonadotropin and its association with supplementary corpus luteum formation and progesterone concentration in Hokkaido native pony recipient mares.
Domestic animal endocrinology
Dec 10, 2019
The objectives of this study were to determine the plasma profile of equine chorionic gonadotropin (eCG) and its association with the formation of supplementary corpus luteum (CL) and plasma progesterone concentrations in embryo transfer Hokkaido nat...
Somatic cell count and type of intramammary infection impacts fertility from in vitro produced embryo transfer.
Theriogenology
Dec 16, 2017
The objective of this study was to assess the impact of mastitis-causing bacteria and somatic cell count (SCC) on pregnancy per embryo transfer (P/ET) in Holstein-Gir crossbred (Girolando) lactating dairy cows. Cows (n = 1397) were subjected to a tim...
A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images.
Scientific reports
Aug 9, 2017
Morphological analysis is the standard method of assessing embryo quality; however, its inherent subjectivity tends to generate discrepancies among evaluators. Using genetic algorithms and artificial neural networks (ANNs), we developed a new method ...
Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods.
Medical decision making : an international journal of the Society for Medical Decision Making
May 19, 2014
BACKGROUND: Multiple embryo transfers in in vitro fertilization (IVF) treatment increase the number of successful pregnancies while elevating the risk of multiple gestations. IVF-associated multiple pregnancies exhibit significant financial, social, ...
An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades.
Human reproduction (Oxford, England)
Jun 1, 2025
STUDY QUESTION: Can a quantitative method be developed to differentiate between blastocysts with similar or same inner cell mass (ICM) and trophectoderm (TE) grades, while also reflecting their potential for live birth?
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