Artificial intelligence in assisted reproductive technology: separating the dream from reality
Cohen et al., 2025
While AI promises to revolutionize fertility treatment, this review provides a balanced assessment of what AI can realistically achieve. The authors examine current AI applications in IVF, from embryo selection to predicting pregnancy outcomes, critically evaluating the evidence behind each technology.
They find that while some AI tools show genuine promise, others still lack rigorous validation.
The review highlights common pitfalls, including biased training datasets, failing to validate across diverse populations, and overestimating AI's ability to predict complex biological outcomes.
The authors emphasize that AI should augment, not replace, human expertise, and warn against adopting unproven technologies that could harm patients. They provide practical guidance for clinics considering AI adoption, including questions to ask vendors and red flags to watch for.
The review concludes that while AI will play an important role in fertility treatment's future, maintaining realistic expectations and rigorous standards is crucial for patient benefit.