What is the use of AI in IVF?

AI in IVF is mostly being used to help clinics analyze things that embryologists normally judge manually, especially embryos, eggs, and sperm. From what I’ve read, some clinics now use AI tools to help identify which embryos have the best chance of developing successfully by analyzing images and growth patterns during the lab stage.

The interesting part is that AI is supposed to reduce some of the subjectivity involved in embryo grading. Instead of relying only on human observation, the software compares huge amounts of past IVF data and looks for patterns linked to better outcomes.

I’ve also seen it mentioned for sperm analysis and predicting ovarian response during treatment. Basically using data to help doctors make more personalized decisions instead of using the exact same approach for everyone.

That said, it doesn’t sound like AI is “running IVF” or guaranteeing pregnancy or anything close to that. It seems more like an additional tool clinics use to support decision-making, especially in cases where embryo selection becomes really important.

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