AIMC Topic: Blastocyst

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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...
Humans Embryo Transfer Pregnancy Artificial Intelligence Cryopreservation Databases, Factual Fertilization in Vitro Female Sample Size Area Under Curve Sensitivity and Specificity Blastocyst Image Processing, Computer-Assisted Calibration Decision Making, Computer-Assisted
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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.
Female Humans Adult Calibration Fertilization in Vitro Retrospective Studies Time-Lapse Imaging Deep Learning Area Under Curve Image Processing, Computer-Assisted Diploidy Blastocyst Preimplantation Diagnosis Aneuploidy
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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...
Laboratory Personnel Early Warning Score Embryonic Development Sperm Injections, Intracytoplasmic Embryo Culture Techniques Neural Networks, Computer Pregnancy Female Deep Learning Image Processing, Computer-Assisted Pregnancy Rate Blastocyst Humans
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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...
Humans Neural Networks, Computer Fertilization in Vitro Treatment Outcome Cell Count Blastocyst Pregnancy Female Deep Learning Image Processing, Computer-Assisted Time-Lapse Imaging
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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...
Blastocyst Embryonic Development Time-Lapse Imaging Humans Algorithms Deep Learning
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Deep learning neural network analysis of human blastocyst expansion from time-lapse image files.

Reproductive biomedicine online Mar 6, 2021
RESEARCH QUESTION: Can artificial intelligence (AI) discriminate a blastocyst's cellular area from unedited time-lapse image files using semantic segmentation and a deep learning optimized U-Net architecture for use in selecting single blastocysts fo...
Female Young Adult Adult Deep Learning Blastocyst Humans Live Birth Retrospective Studies Time-Lapse Imaging Pregnancy Single Embryo Transfer
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Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.

Reproductive biomedicine online Dec 24, 2020
RESEARCH QUESTION: Can artificial intelligence and advanced image analysis extract and harness novel information derived from cytoplasmic movements of the early human embryo to predict development to blastocyst?
Humans Neural Networks, Computer Retrospective Studies Blastocyst Time-Lapse Imaging Embryonic Development Proof of Concept Study Cytoplasm
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An artificial intelligence model based on the proteomic profile of euploid embryos and blastocyst morphology: a preliminary study.

Reproductive biomedicine online Oct 8, 2020
RESEARCH QUESTION: The study aimed to develop an artificial intelligence model based on artificial neural networks (ANNs) to predict the likelihood of achieving a live birth using the proteomic profile of spent culture media and blastocyst morphology...
Proteome Blastocyst Live Birth Retrospective Studies Pregnancy Female Adult Humans Neural Networks, Computer
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Performance of a deep learning based neural network in the selection of human blastocysts for implantation.

eLife Sep 15, 2020
Deep learning in in vitro fertilization is currently being evaluated in the development of assistive tools for the determination of transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistiv...
Blastocyst Image Processing, Computer-Assisted Humans Female Microscopy Adult Fertilization in Vitro Algorithms Male Pregnancy Outcome Pregnancy Deep Learning
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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.
Oocyte Donation Time Factors Pregnancy Rate Fertilization in Vitro Retrospective Studies Humans Image Interpretation, Computer-Assisted Treatment Outcome Neural Networks, Computer Pregnancy Time-Lapse Imaging Embryo Implantation Female Predictive Value of Tests Infertility Single Embryo Transfer Blastocyst Fertility
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