AIMC Topic: Embryo Implantation
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Artificial intelligence in human in vitro fertilization and embryology.
Fertility and sterility
Nov 1, 2020
Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro fertilization (IVF) process. It aims to choose the "best" embryos from the larger cohort of fertilized oocytes, the majority of which will be determined to be n...
Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ changes throughout the hormone stimulation cycle and has predictive value for implantation success. Desp...
Should we freeze it? Agreement on fate of borderline blastocysts is poor and does not improve with a modified blastocyst grading system.
Human reproduction (Oxford, England)
May 1, 2020
STUDY QUESTION: What is the inter-observer agreement among embryologists for decision to freeze blastocysts of borderline morphology and can it be improved with a modified grading system?
Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.
Human reproduction (Oxford, England)
Jun 4, 2019
STUDY QUESTION: Can a deep learning model predict the probability of pregnancy with fetal heart (FH) from time-lapse videos?
[Impact of laser-assisted hatching (quarter technique) in poor prognosis patients].
Ginecologia y obstetricia de Mexico
Nov 1, 2015
BACKGROUND: Poor implantation rates continue to be the determinant factor for results in assisted reproductive techniques; many factors are thought to be involved including embryo quality, endometrial receptivity and embryo transfer. Assisted hatchin...
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