AI Embryo Selection | Meaning, When it is used & Benefits

What is Artificial Intelligence-Embryo Selection?

Artificial Intelligence (AI) is now being successfully used in In Vitro Fertilisation. A significant part of IVF success depends on the right embryo being selected for uterine transfer or cryopreservation.

Artificial Intelligence Embryo Selection enables embryologists to use only the most promising embryos for the IVF process. The embryo selection process was initially done manually using an international scoring standard or an embryo scope scoring standard. The process has now been taken over by artificial intelligence technology. Artificial Intelligence can select embryos with highest accuracy.

During the process, the AI creates an in-depth- image of the embryo and studies the traits of the embryo to generate an AI score. The AI score guides embryologists to use the best quality embryos for the IVF process. Artificial Intelligence Enhanced Embryo Selection is a ground-breaking technology that uses AI to indicate the quality and identify complex patterns of embryos. This level of assessment cannot be done manually using the human eye.

Overview

Indications to Use AI-Embryo Selection

Artificial Intelligence enhanced embryo selection can be used by the following:

Patients who have had previous failed IVF cycles.
Patients who are undergoing a current IVF cycle.
Patients who have more than one embryo available for transfer
Patients who are undergoing Embryo freezing or cryopreservation for later use.
Patients who have experienced implantation failures in IVF.

Benefits of AI-Enhanced Embryo Selection

AI-enhanced embryo selection poses several potential benefits for patients:

Helps in the selection of the most viable embryos from the possible options.
It reduces the number of IVF cycles for successful conceptions.
It increases IVF success rates.
Reduces the risk of IVF failure and failed implantations.
It helps women conceive quickly.
In the case of a single embryo, AI for embryo selection helps in assessing its quality and predicting possible results of the cycle.