Nowadays, assessing which embryo is the best one depends on the embryologist’s experience and attentiveness alone.
EMBRYOAID automatically ranks and identifies the most promising embryos based on an extensive collection of images and time-lapse imaging. The algorithm has learned from films and images of embryos to recognise the process of their maturation and with perfect precision, to suggest which embryo has the best prognosis to develop into a pregnancy.
In a clinical evaluation, we provided 150 embryos to embryologists from various clinics for evaluation. The AI recommendations exhibited effectiveness equivalent to assessments conducted by highly experienced embryologists with over 30 years of expertise.
The currently available tools to support this decision-making are limited, highly subjective, usually time-consuming, and often very expensive.
What’s more, they are available only in the most expensive clinics in the world.
Embryologists commonly depend on their wealth of experience and acute observational abilities to select suitable embryos for implantation. However, the absence of standardized, objective methods for embryo assessment may contribute to significant variability in the selection process.
EMBRYOAID is designed to support embryologists in selecting the most viable embryos, thus potentially decreasing the necessity for multiple IVF cycles to achieve successful pregnancies. Additionally, it aims to enhance success rates and minimize the risk of multiple pregnancies.
Join the leading nine IVF clinics in the world. We encourage you to collaborate if you are an in vitro fertilization clinic and want to share your datasets to develop EMBRYOAID and get benefits:
At MIM Fertility, we use Artificial Intelligence to address infertility holistically. We help fertility professionals improve patient outcomes and increase clinic efficiency.
