AIMC Topic: Pregnancy Rate
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Seeking arrangements: cell contact as a cleavage-stage biomarker.
Reproductive biomedicine online
Nov 3, 2023
RESEARCH QUESTION: What can three-dimensional cell contact networks tell us about the developmental potential of cleavage-stage human embryos?
Identifying predictors of Day 5 blastocyst utilization rate using an artificial neural network.
Reproductive biomedicine online
Sep 10, 2023
RESEARCH QUESTION: Can artificial intelligence identify predictors of an increased Day 5 blastocyst utilization rate (D5BUR), which is one of the most informative key performance indicators in an IVF laboratory?
Interpretable artificial intelligence-assisted embryo selection improved single-blastocyst transfer outcomes: a prospective cohort study.
Reproductive biomedicine online
Sep 1, 2023
RESEARCH QUESTION: What is the pregnancy and neonatal outcomes of an interpretable artificial intelligence (AI) model for embryo selection in a prospective clinical trial?
Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study.
Reproductive biomedicine online
Jul 28, 2023
RESEARCH QUESTION: What is the effect of increasing training data on the performance of ongoing pregnancy prediction after single vitrified-warmed blastocyst transfer (SVBT) in a deep-learning model?
Artificial intelligence in the service of intrauterine insemination and timed intercourse in spontaneous cycles.
Fertility and sterility
Jul 23, 2023
OBJECTIVE: To develop a machine learning model designed to predict the time of ovulation and optimal fertilization window for performing intrauterine insemination or timed intercourse (TI) in natural cycles.
Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.
Fertility and sterility
Jun 10, 2023
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplas...
External validation of a model for selecting day 3 embryos for transfer based upon deep learning and time-lapse imaging.
Reproductive biomedicine online
Jun 3, 2023
RESEARCH QUESTION: Could objective embryo assessment using iDAScore Version 2.0 perform as well as conventional morphological assessment?
Deep learning for embryo evaluation using time-lapse: a systematic review of diagnostic test accuracy.
American journal of obstetrics and gynecology
Apr 26, 2023
OBJECTIVE: This study aimed to investigate the accuracy of convolutional neural network models in the assessment of embryos using time-lapse monitoring.
Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers.
Journal of assisted reproduction and genetics
Mar 2, 2023
PURPOSE: Endometrial histology on hematoxylin and eosin (H&E)-stained preparations provides information associated with receptivity. However, traditional histological examination by Noyes' dating method is of limited value as it is prone to subjectiv...
New frontiers in embryo selection.
Journal of assisted reproduction and genetics
Jan 7, 2023
Human infertility is a major global public health issue estimated to affect one out of six couples, while the number of assisted reproduction cycles grows impressively year over year. Efforts to alleviate infertility using advanced technology are gai...
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