An Evolution in Endometrial Receptivity Testing
AIM represents the next generation of endometrial receptivity assessment. Powered by Machine Learning (ML) and Artificial Intelligence (AI), AIM automates the generation of receptivity scores from ultrasound images — dramatically enhancing the speed, accuracy, and efficiency of analysis while maintaining the highest standards of clinical care.
Patient-Focused, Resource-Efficient Fertility Care
AIM enables fertility specialists to optimize both clinical resources and patient outcomes. By providing rapid, reliable assessments of endometrial receptivity, AIM supports critical decision-making at every step:
When receptivity scores are high, clinicians can proceed with confidence, transferring embryos into an environment optimized for implantation.
When scores are low, AIM can guide decisions to cryopreserve embryos and adjust protocols to improve future outcomes, minimizing risks and maximizing opportunities for success.