The use of AI in fertility treatment: a balanced perspective
AI is undoubtedly transforming many industries, and fertility treatment is no exception. As we enter 2025, artificial intelligence is an increasingly prominent topic in assisted reproductive technology. But what does AI in fertility actually mean, and how is it currently being used in IVF?
As Director of Embryology and Genetics at The Evewell, I want to offer a fair and balanced perspective on AI in fertility care. While AI brings exciting developments, it is crucial to recognise its role as a tool that enhances, rather than replaces, human expertise.
What is AI in fertility?
Artificial intelligence in fertility treatment involves the use of machine learning algorithms to analyse vast amounts of data, identify patterns, and assist embryologists and clinicians in decision-making. AI can help predict outcomes, automate repetitive tasks, and improve efficiencies in the IVF process. However, it is essential to understand that AI is not a standalone solution but a supportive tool in an intricate medical and scientific process.
AI in IVF treatment: What are the benefits?
One of the most promising applications of AI in IVF is embryo assessment. Traditionally, embryologists evaluate embryos by manually analysing time-lapse images from a time-lapse incubator, noting key developmental milestones, and selecting the best-quality embryos for transfer. AI-powered tools can assist in this process by assessing thousands of embryo images and providing a predictive score based on features associated with implantation success.
At The Evewell, we see AI as a means to enhance the precision of embryo selection rather than replace human judgement. AI can help embryologists by reducing the time spent on repetitive tasks such as annotation—where we document embryo development stages in time-lapse imaging. This not only supports the accuracy of embryo assessment but also allows embryologists to dedicate more time to direct patient care.
Beyond embryo selection, AI is being integrated into other areas of IVF, such as sperm selection, ovarian stimulation planning, and predicting individualised treatment success rates. These innovations have the potential to optimise treatment plans and improve efficiency within the laboratory.
The limitations of AI in IVF
Despite its advantages, AI has limitations. Fertility treatment is a complex, highly individualised process that requires clinical expertise, skill, and patient involvement. While AI can provide valuable insights, the human element remains irreplaceable.
For example, while AI can assess an egg or embryo’s visual characteristics, it can’t evaluate the many biological and genetic factors influencing its viability. An AI model may score an embryo highly, but if the freezing or biopsy techniques are not performed correctly, the embryo’s true potential is compromised.
Additionally, AI systems require extensive data to function effectively. The quality of AI-generated insights depends entirely on the quality of the data inputted. If an AI model is trained on suboptimal or biased datasets, its recommendations may be misleading. Therefore, embryologists must critically evaluate AI-generated suggestions rather than blindly accepting them.
Does AI improve IVF success rates?
The success of IVF depends on multiple factors, including the expertise of the medical team, the quality of the lab equipment, the experience of the lab team, and the patient’s individual circumstances. AI can’t compensate for substandard clinical or laboratory practices. A poorly operated IVF clinic using AI will not outperform a high-quality clinic without AI.
In fertility treatment, where every step is critical, an overreliance on AI without human oversight could lead to unintended consequences.
The future of AI in fertility care
AI isn’t a magic solution, but it is a powerful tool that has the potential to enhance efficiency and precision in IVF. Its role should be seen as complementary to human expertise rather than a replacement for it.
At The Evewell, we’re excited about the evolution of AI and its potential to support embryologists and improve the patient experience. However, we remain cautious about over-reliance on AI, ensuring that every decision is validated by experienced professionals.
So, while AI is an important part of the future of fertility treatment, it is not the defining factor of success. Expertise, experience, laboratory quality, and personalised patient care will always be at the heart of achieving the best possible outcomes in IVF at The Evewell.
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