AIMC Topic: Infertility

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Artificial intelligence-the future is now.

Journal of assisted reproduction and genetics Jul 7, 2021
The pros and cons of artificial intelligence in assisted reproductive technology are presented.
Computational Biology Reproductive Techniques, Assisted Infertility Embryology Humans Artificial Intelligence Precision Medicine Diagnosis, Computer-Assisted
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Machine learning for sperm selection.

Nature reviews. Urology May 17, 2021
Infertility rates and the number of couples seeking fertility care have increased worldwide over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are being performed globally every year, but the success rate has rem...
Sperm Motility Sperm Injections, Intracytoplasmic Cell Shape Infertility DNA Damage Semen Analysis Spermatozoa Humans Machine Learning Male Fertilization in Vitro Sperm Retrieval
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Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study.

Reproductive biology and endocrinology : RB&E Apr 5, 2021
BACKGROUND: To minimize the rate of in vitro fertilization (IVF)- associated multiple-embryo gestation, significant efforts have been made. Previous studies related to machine learning in IVF mainly focused on selecting the top-quality embryos to imp...
Machine Learning Computer Simulation Prognosis Pregnancy Humans Artificial Intelligence Embryo, Mammalian Infertility Single Embryo Transfer Pregnancy Rate Female Fertilization in Vitro Adult Treatment Outcome Male Models, Statistical
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Development of a Dynamic Diagnosis Grading System for Infertility Using Machine Learning.

JAMA network open Nov 2, 2020
IMPORTANCE: Many indicators need to be considered when judging the condition of patients with infertility, which makes diagnosis and treatment complicated.
Female Adult Male China Machine Learning Decision Support Techniques Pregnancy Pregnancy Rate Infertility Humans
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All Models Are Wrong, but Some Are Useful.

Journal of assisted reproduction and genetics Oct 7, 2020
Humans Artificial Intelligence Reproductive Medicine Infertility
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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.
Single Embryo Transfer Oocyte Donation Neural Networks, Computer Fertility Retrospective Studies Embryo Implantation Image Interpretation, Computer-Assisted Pregnancy Predictive Value of Tests Female Time-Lapse Imaging Blastocyst Time Factors Pregnancy Rate Infertility Fertilization in Vitro Treatment Outcome Humans
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Empathetic application of machine learning may address appropriate utilization of ART.

Reproductive biomedicine online Jul 15, 2020
The value of artificial intelligence to benefit infertile patients is a subject of debate. This paper presents the experience of one aspect of artificial intelligence, machine learning, coupled with patient empathy to improve utilization of assisted ...
Humans Artificial Intelligence Machine Learning Reproductive Techniques, Assisted Counseling Pregnancy Infertility Female Male
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Computational and artificial neural network based study of functional SNPs of human LEPR protein associated with reproductive function.

Journal of cellular biochemistry Jun 25, 2019
Genetic polymorphisms are mostly associated with inherited diseases, detecting and analyzing the biological significance of functional single-nucleotide polymorphisms (SNPs) using wet laboratory experiments is an arduous task hence the computational ...
Humans Neural Networks, Computer Infertility Molecular Docking Simulation Protein Domains Polymorphism, Single Nucleotide Amino Acid Substitution Mutation, Missense Receptors, Leptin
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An artificial neural network for the prediction of assisted reproduction outcome.

Journal of assisted reproduction and genetics Jun 19, 2019
PURPOSE: To construct and validate an efficient artificial neural network (ANN) based on parameters with statistical correlation to live birth, to be used as a comprehensive tool for the prediction of the clinical outcome for patients undergoing ART.
Sperm Injections, Intracytoplasmic Reproductive Techniques, Assisted Live Birth Infertility Birth Rate Male Pregnancy Rate Fertilization in Vitro Humans Pregnancy Pregnancy Outcome Neural Networks, Computer Female Precision Medicine Adult
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Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

Fertility and sterility Jan 2, 2019
OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF)...
Sperm Injections, Intracytoplasmic Risk Factors Retrospective Studies Infertility Male Humans Fertilization in Vitro Single Embryo Transfer Pregnancy Risk Assessment Machine Learning Treatment Outcome Female Decision Support Techniques Embryo Implantation Reproducibility of Results Fertility
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