The current social fertility rate continues to decline, and the aging population situation is becoming increasingly severe, while the overall success rate of assisted reproduction in clinical settings remains relatively low. Current clinical evaluation methods are relatively limited and constrained, relying solely on traditional approaches such as genetic testing, ultrasound, and endometrial biopsy. There is a lack of standardized endometrial assessment models, making it impossible to monitor the uterine microenvironment in real time and difficult to accurately identify the embryo implantation window, which has become a core pain point limiting assisted reproductive diagnosis and treatment.

Leveraging electrochemical sensing technology, the fully implantable intrauterine intelligent sensor can measure multiple core environmental parameters of the endometrium in situ, continuously and dynamically monitor changes in the uterine physiological microenvironment, and accurately assess endometrial receptivity. It provides critical data support for scientifically planned pregnancy, early screening of women's reproductive health, and clinical assisted reproductive diagnosis and treatment, addressing the shortcomings of clinical monitoring and advancing reproductive health management and assisted reproductive care toward continuous, precise solutions.