Crete Fertility Centre adds another innovative technique in its services. We use Artificial Intelligence (AI) to select the best embryo for the IVF procedure, significantly improving the chances of success.

What is artificial intelligence embryo selection?

Artificial intelligence is now capable of predicting the likelihood of an embryo to develop, reaching till the stage of having a fetal heart. This fact assists the embryologists in our clinic in selecting the best embryo for transfer in IVF. Thus, we analyze the possibility of a clinical pregnancy using AI by a single, still embryo image. The morphological characteristics of a viable embryo, including intricate patterns that are hard or impossible for the human eye to clarify are examined here, in Crete Fertility Centre.

How Artificial Intelligence embryo selection is done

An instantaneous, objective, and non-invasive web program called Life Whisperer Viability help us with the embryo selection decision-making process. With the help of this tool’s AI algorithm, we may confidently choose viable embryos by evaluating morphological characteristics that are associated with the chance of clinical pregnancy.

Results of using AI in IVF

Clinical research has demonstrated that Life Whisperer Viability may detect viable embryos that result in clinical pregnancy up to 25% more accurately than manual grading techniques [1], which can shorten the time to pregnancy by 12% [2]. Increased patient demand, increased capacity for higher-value first-cycle IVF patients, and ultimately patient satisfaction are what our clinic and consequently our patients gain from this.

Additionally, the application of this technique in Crete Fertility Centre increases efficiency and uniformity, making the process of selecting embryos simpler, quicker, and more accurate.

References:

[1] VerMilyea et al, 2020. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Hum Reprod, 35(4):770-784.

[2] Diakiw et al, 2022. An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos. RBMO, 5(6):1105-1117.