Actively Recruiting
Endometrial Receptivity Prediction During in Vitro Fertilization Using Artificial Intelligence Analysis of Vaginal Ultrasound Images
Led by Gottsegen National Cardiovascular Institute · Updated on 2025-09-11
1500
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
Sponsors
G
Gottsegen National Cardiovascular Institute
Lead Sponsor
D
Dunamenti REK Reprodukcios Kozpont
Collaborating Sponsor
AI-Summary
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 Participation is voluntary, and consent can be withdrawn at any time without affecting usual care.
CONDITIONS
Brief Title
Endometrial Receptivity Prediction During in Vitro Fertilization Using Artificial Intelligence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Female patient aged 18 to 40 years indicated for IVF treatment
- No more than 3 previous unsuccessful embryo transfers
- Only cycles with a single blastocyst transferred
You will not qualify if you...
- Presence of congenital uterine anomalies, fibroids, adenomyosis, Asherman syndrome, or any uterine malformations
- Presence of hydrosalpinx
- Diagnosed endometriosis
- Planned freeze-all IVF cycle
- Positive screening test for hepatitis B, hepatitis C, or HIV
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 screening and enrollment visit (in-person)
Duration - Up to 1 treatment cycle (approximately 4 to 6 weeks)
Participants undergo vaginal ultrasound imaging during stimulation and on the day of embryo transfer to analyze endometrial receptivity using artificial intelligence.
2 visits (in-person) during an IVF cycle
Duration - Approximately 4 weeks after embryo transfer
Participants are followed up to assess clinical pregnancy outcomes approximately 28 days after embryo transfer.
1 follow-up visit (in-person)
Trial Site Locations
Total: 1 location
1
Dunamenti REK Reprodukcios Kozpont
Budapest, Hungary, 1205
Actively Recruiting
Research Team
M
Marton Jozsef Kolossvary
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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