What is the use of AI in IVF?

With AI, doctors and embryologists can learn how likely an embryo is to develop even upto the third week of gestation and can select the embryo with the highest potential for transfer.

However, despite the rapidly progressing technology, there isn’t enough data on the use of AI in IVF to influence its usage in most clinics.

How can AI help with IVF success?

The success of your IVF depends, in part, on some of the key decisions made during the clinical treatment and the expertise of your embryologist or fertility doctor.

1. When to start the stimulation process?
2. What shall be the timing of the egg retrieval?
3. Which is the best embryo to transfer?

In the traditional approach, the embryologist makes these judgments based on the manual inspection of images in the lab using techniques like microscopic/ time-lapse imaging. However, this leaves a possibility of error due to the use of different equipment and varying image quality.

If accurate decisions are not made at these leverage points, the possibility of IVF success may drop drastically at each step. This also makes the standardization of the process quite challenging.

This is exactly when AI can help to minimize the chances of human error and allow for better clinical decision-making.

At present, work is going on for using:

1. AI in embryo selection
2. AI in gamete selection and best oocyte and sperm combination
3. AI in designing a personalized fertility treatment regimen