AIMC Topic: Reproductive Techniques, Assisted
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Trending in human ARTs: Jumping on the Artificial Intelligence and Machine Learning bandwagon.
Journal of assisted reproduction and genetics
Jul 1, 2021
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...
Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?
Fertility and sterility
Nov 1, 2020
The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively...
What artificial intelligence may, or may not, contribute to human ARTs.
Journal of assisted reproduction and genetics
Oct 1, 2020
Artificial intelligence: its applications in reproductive medicine and the assisted reproductive technologies.
Fertility and sterility
Jul 1, 2019
Meddling with new technologies or amending an embryos' potential.
Journal of assisted reproduction and genetics
Apr 1, 2019
From artefactual to artificial intelligence-meeting the needs of ART patients and practitioners.
Journal of assisted reproduction and genetics
Sep 1, 2018
[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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