Using Artificial Intelligence to Predict Uterine Lining Readiness During In Vitro Fertilization in Women Aged 18 to 40

What this Trial Is About

Researchers are studying infertility in women undergoing in vitro fertilization IVF treatment, focusing on whether artificial intelligence AI can analyze vaginal ultrasound images of the uterine lining endometrium to better predict implantation success. The study aims to improve how receptivity of the endometrium is determined, potentially guiding decisions about embryo transfer timing to increase chances of pregnancy. This observational study is sponsored by the Gottsegen National Cardiovascular Institute and plans to enroll about 1,500 women aged 18 to 40 over three years. Participants will undergo routine IVF procedures without additional tests or interventions for the study. Vaginal ultrasounds of the endometrium will be taken during stimulation and on the day of embryo transfer. AI will be used to segment and analyze these images to assess endometrial patterns. Patient data including age, body mass index, treatment details, ultrasound measurements, and pregnancy outcomes will be collected and securely stored. During the study, participants will not have extra clinic visits beyond their usual IVF care. Researchers will collect data from routine ultrasounds, treatment records, and pregnancy follow-ups, including ultrasound-confirmed clinical pregnancy at 28 days post-embryo transfer. Data privacy is ensured, with information accessible only to study professionals. Participation is voluntary, and consent can be withdrawn at any time without affecting usual care.

Endometrial Receptivity Prediction During in Vitro Fertilization Using Artificial Intelligence