How can AI support IVF treatments?

In vitro fertilisation (IVF) is a highly personalised journey, and recent advancements in artificial intelligence (AI) are offering new hope to individuals and couples seeking to grow their families. AI, a branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence, is increasingly being used to enhance the precision, efficiency, and success rates of IVF treatments. We speak to a leading fertility specialist who explains how AI is being used to support IVF treatment.

How does AI help in embryo selection?

One of the most critical steps in IVF is selecting the best embryo for implantation. Traditionally, embryologists use microscopes to assess embryos based on their appearance. While this method is effective, it is also subjective, as it relies heavily on human judgment.

AI-powered tools bring a new level of precision to this process. These systems use algorithms to analyse images of embryos, evaluating factors such as the number of cells, their structure, and the rate of cell division. By comparing these characteristics with vast datasets from previous IVF cycles, AI can predict which embryos are most likely to result in a successful pregnancy.

For patients, this means potentially higher success rates and fewer cycles needed to achieve a pregnancy, which can save both time and emotional stress.

Can AI improve sperm selection?

Yes, AI is also transforming how sperm are selected for fertilisation. Healthy sperm are essential for successful IVF, and selecting the best ones can be a challenging task. AI systems use advanced imaging techniques to evaluate sperm motility (how they move) and morphology (their shape). These systems can identify subtle differences that may be missed by the human eye, ensuring the healthiest sperm are chosen.

This technology is especially beneficial for patients with male factor infertility, a condition where sperm quality or quantity is lower than average. By optimising sperm selection, AI increases the chances of creating healthy embryos.

Does AI make fertility treatments more personalised?

IVF treatments are not one-size-fits-all, and AI is helping tailor care to each patient’s unique needs. For instance, AI can analyse hormonal levels, genetic information, and past treatment data to recommend the best protocols for ovarian stimulation—a process where medication is used to help the ovaries produce multiple eggs.

By refining these protocols, AI can reduce the likelihood of complications like ovarian hyperstimulation syndrome (OHSS), a condition where the ovaries swell and become painful due to excessive response to fertility drugs. Personalised treatments also mean fewer unnecessary interventions and more efficient use of resources.

What role does AI play in monitoring progress?

Throughout the IVF process, regular monitoring is essential. This includes tracking the development of eggs, the health of embryos, and the patient’s hormonal levels. AI tools can interpret large amounts of data from ultrasounds and blood tests, providing real-time insights into how the treatment is progressing.

By spotting patterns or anomalies that might otherwise go unnoticed, AI allows doctors to make timely adjustments to the treatment plan, improving outcomes for patients.

The integration of AI in IVF is revolutionising reproductive medicine, offering patients more accurate, efficient, and personalised care. While these technologies are not a replacement for the expertise and compassion of fertility specialists, they are a valuable tool that enhances the overall IVF experience.