Background In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve
as invaluable tools for clinicians, offering predictive insights into ovarian stimulation …

Abstract Infertility affects 1-in-6 couples, with repeated intensive cycles of assisted
reproductive technology (ART) required by many to achieve a desired live birth. In ART …

Objective To investigate the association between the number of oocytes retrieved and the
numbers of fertilized oocytes and blastocysts and cumulative and primary transfer live birth …

Research question Can we develop an interpretable machine learning model that optimizes
starting gonadotrophin dose selection in terms of mature oocytes (metaphase II [MII]) …

The objective of this study was to evaluate clinical outcomes for patients undergoing IVF
treatment where an artificial intelligence (AI) platform was utilized by clinicians to help …

Various studies have emphasized the importance of identifying the optimal Trigger Timing
(TT) for the trigger shot in In Vitro Fertilization (IVF), which is crucial for the successful …

Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved
dramatically, leading to higher implantation rates. This has led to a notable shift to single …

Artificial intelligence (AI) has become a ubiquitous term, encompassing a broad range of
technologies, software, interfaces, and algorithms utilized in big data analytics to forecast …

Because of the birth of the first baby after in vitro fertilization (IVF), the field of assisted
reproductive technologies (ARTs) has seen significant advancements in the past 40 years …

Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF).
IVF generates complex data, which can challenge the utilization of the full richness of data …