AIMC Topic: Fertility Agents, Female

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A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.

Fertility and sterility Jul 10, 2021
OBJECTIVE: To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.
Humans Machine Learning Clinical Decision-Making Pregnancy Female Adult Male Time Factors Embryo Transfer Pregnancy Outcome Treatment Outcome Decision Trees Blastocyst Fertility Ovulation Induction Therapy, Computer-Assisted Sperm Injections, Intracytoplasmic Infertility Oocyte Retrieval Fertility Agents, Female
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Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Journal of assisted reproduction and genetics May 24, 2021
PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the bes...
Humans Neural Networks, Computer Artificial Intelligence Pregnancy Female Adult Male Support Vector Machine Spermatozoa Patient Selection Insemination, Artificial Letrozole Decision Making, Computer-Assisted Clomiphene Fertility Agents, Female Gonadotropins
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