AIMC Topic: Embryo Implantation

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Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques.

Computer methods and programs in biomedicine May 16, 2022
BACKGROUND: Embryo morphology is a predictive marker for implantation success and ultimately live births. Viability evaluation and quality grading are commonly used to select the embryo with the highest implantation potential. However, the traditiona...
Deep Learning Embryo Implantation Time-Lapse Imaging Insemination Humans Artificial Intelligence
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Does conventional morphological evaluation still play a role in predicting blastocyst formation?

Reproductive biology and endocrinology : RB&E Apr 19, 2022
BACKGROUND: Advanced models including time-lapse imaging and artificial intelligence technologies have been used to predict blastocyst formation. However, the conventional morphological evaluation of embryos is still widely used. The purpose of the p...
Artificial Intelligence Embryo Culture Techniques Humans Retrospective Studies Embryo Implantation Blastocyst
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Will the introduction of automated ART laboratory systems render the majority of embryologists redundant?

Reproductive biomedicine online Oct 12, 2021
IVF techniques have changed over time with the aim of improving clinical results. Today, embryology is facing a change common to most areas of medicine, the introduction of automation. The use of automated systems in the IVF laboratory is already hap...
Fertilization in Vitro Embryo Implantation Artificial Intelligence Embryo Transfer Humans
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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...
Humans Artificial Intelligence Pregnancy Rate Fertilization in Vitro Embryo Implantation Blastocyst Pregnancy Female Adult Algorithms Image Processing, Computer-Assisted Decision Support Techniques Retrospective Studies
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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...
Blastocyst Image Interpretation, Computer-Assisted Heart Rate, Fetal Maternal Age Treatment Outcome Embryo Implantation Predictive Value of Tests Single Embryo Transfer Vitrification Embryo Culture Techniques Time-Lapse Imaging Infertility Female Adult Middle Aged Cryopreservation Fertilization in Vitro Deep Learning Pregnancy Rate Humans Retrospective Studies Pregnancy
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Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro.

Stem cell reports Apr 22, 2021
Stem cell-based embryo models by cultured pluripotent and extra-embryonic lineage stem cells are novel platforms to model early postimplantation development. We showed that induced pluripotent stem cells (iPSCs) could form ITS (iPSCs and trophectoder...
Cell Polarity Ectoderm Endoderm Embryo, Mammalian Bone Morphogenetic Protein 4 Small Molecule Libraries Induced Pluripotent Stem Cells Morphogenesis Trophoblasts Animals Mice Machine Learning Gene Expression Regulation, Developmental Transcriptome Embryo Implantation Cytokines
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A robust deep learning-based multiclass segmentation method for analyzing human metaphase II oocyte images.

Computer methods and programs in biomedicine Jan 19, 2021
BACKGROUND AND OBJECTIVE: The morphology of the human metaphase II (MII) oocyte is an essential indicator of the embryo's potential for developing into a healthy baby in the Intra-Cytoplasmic Sperm Injection (ICSI) process. In this case, characterist...
Humans Oocytes Sperm Injections, Intracytoplasmic Deep Learning Embryo Implantation Metaphase
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Choosing the best embryo with the help of artificial intelligence.

Fertility and sterility Nov 1, 2020
Embryo Implantation Embryo, Mammalian Humans Neural Networks, Computer Artificial Intelligence
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Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

Fertility and sterility Sep 8, 2020
OBJECTIVE: To describe novel embryo features capable of predicting implantation potential as input data for an artificial neural network (ANN) model.
Pregnancy Female Time Factors Time-Lapse Imaging Oocyte Donation Pregnancy Rate Predictive Value of Tests Humans Infertility Fertilization in Vitro Fertility Blastocyst Neural Networks, Computer Single Embryo Transfer Image Interpretation, Computer-Assisted Retrospective Studies Treatment Outcome Embryo Implantation
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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?
Reproducibility of Results Deep Learning Prognosis Humans Pregnancy Rate Embryo Implantation Pregnancy Embryo Transfer Algorithms Ploidies Female Databases, Factual Fertilization in Vitro
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