AIMC Topic: Sperm Injections, Intracytoplasmic

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Applying data mining techniques for increasing implantation rate by selecting best sperms for intra-cytoplasmic sperm injection treatment.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Aspiration of a good-quality sperm during intracytoplasmic sperm injection (ICSI) is one of the main concerns. Understanding the influence of individual sperm morphology on fertilization, embryo quality, and pregnancy probab...

Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods.

Medical decision making : an international journal of the Society for Medical Decision Making
BACKGROUND: Multiple embryo transfers in in vitro fertilization (IVF) treatment increase the number of successful pregnancies while elevating the risk of multiple gestations. IVF-associated multiple pregnancies exhibit significant financial, social, ...

Artificial intelligence for optimal in vitro fertilization morphokinetics.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVE: To create an artificial intelligence model able to determine the morphokinetic phases of an embryo by utilizing time-lapse imaging (TLI) videos.

Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

Advances in experimental medicine and biology
Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the field of urology, reproductive urology specifically offers many opportunities to utilize this advanced computational technology for diagnostic and thera...

Effect of Familial Mediterranean Fever on Ivf Outcome: A Retrospective Case Series.

Acta clinica Croatica
Although the in vitro fertilization-intra-cytoplasmic sperm injection (IVF-ICSI) has been utilized widely, the management in patients with an autoimmune disease is still a challenge. The aim of this study was to demonstrate IVF-ICSI outcomes in infer...

High Peak Estradiol Predicts Higher Miscarriage and Lower Live Birth Rates in High Responders Triggered with a GnRH Agonist in IVF/ICSI Cycles.

The Journal of reproductive medicine
OBJECTIVE: To investigate parameters predictive of pregnancy outcomes in high responders undergoing fresh, autologous, GnRH antagonist IVF/ICSI cycles using a GnRH agonist trigger.