AIMC Topic: Single Embryo Transfer

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BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.

Human reproduction (Oxford, England) Apr 3, 2024
STUDY QUESTION: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpretable, clinically relevant features of human embryos in IVF?
Humans Retrospective Studies Pregnancy Female Deep Learning Fertilization in Vitro Embryo Implantation Blastocyst Live Birth Single Embryo Transfer
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A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.

Systems biology in reproductive medicine Feb 1, 2021
The aim of this work was o construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART embryo incubated in a time lapse monitoring (TLM) system. A retrospective study was performed. For th...
Humans Machine Learning Retrospective Studies Female Adult Male Predictive Value of Tests Kinetics Models, Biological Embryo, Mammalian Embryonic Development Maternal Age Reproductive Techniques, Assisted Embryo Culture Techniques Single Embryo Transfer
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Reply: Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Human reproduction (Oxford, England) Feb 29, 2020
Humans Pregnancy Female Deep Learning Embryo Transfer Single Embryo Transfer Fetal Heart
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Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Human reproduction (Oxford, England) Feb 29, 2020
Humans Pregnancy Female Deep Learning Embryo Transfer Single Embryo Transfer Fetal Heart
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