AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Cryopreservation

Showing 1 to 10 of 41 articles

Clear Filters

Determination of the cryoprotective effect of n-methylacetamide in rabbit semen.

Cryo letters
BACKGROUND: Amides are low molecular weight cryoprotectants. N-methylacetamide (MA) is one of the cryoprotectant agents in this group.

IGF-1 stabilizes goat sperm mitochondrial transmembrane potential and reduces dna fragmentation.

Cryo letters
BACKGROUND: Antioxidant present in sperm cells protects them from oxidative damage. However, sperm are more susceptible to peroxidative damages due to the loss of these enzymes during cryopreservation and their survival and fertility may be compromis...

Follicular fluid supplemented with copper and zinc increase the maturation rate of mouse vitrified-warmed oocytes.

Cryo letters
BACKGROUND: Immature oocyte cryopreservation is a therapeutic option in assisted reproductive technology.

Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).

Journal of assisted reproduction and genetics
PURPOSE: Deep learning neural networks have been used to predict the developmental fate and implantation potential of embryos with high accuracy. Such networks have been used as an assistive quality assurance (QA) tool to identify perturbations in th...

[AI (ARTIFICIAL INTELLIGENCE) IN AI (ARTIFICIAL INSEMINATION)].

Harefuah
The article, which focuses only on the prevention of the sperm and/or the frozen embryo mix-up, will begin by elaborating on the acute need to prevent the next gamete and zygote mix-up scenario. Afterwards, it will explore the practical methods alrea...

Looking into the future: a machine learning powered prediction model for oocyte return rates after cryopreservation.

Reproductive biomedicine online
RESEARCH QUESTION: Could a predictive model, using data from all US fertility clinics reporting to the Society for Assisted Reproductive Technology, estimate the likelihood of patients using their stored oocytes?

Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study.

Scientific reports
This study aims to develop physician support software for determining ovulation time and assess its impact on pregnancy outcomes in natural cycle frozen embryo transfers (NC-FET). To develop, assess, and validate an ovulation prediction model, three ...