AI reads your uterine lining to predict IVF success

NCT ID NCT06717802

Recruiting now Knowledge-focused Sponsor: Gottsegen National Cardiovascular Institute Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 2 times

Summary

This study uses artificial intelligence to analyze vaginal ultrasound images of the uterine lining taken during routine IVF treatment. The goal is to see if the AI can predict whether an embryo will successfully implant. Researchers will enroll 1,500 women aged 18-40 undergoing IVF, with no extra visits or tests beyond standard care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could give doctors a new AI tool to predict which embryos are most likely to implant, potentially improving IVF success rates and reducing emotional and financial strain.
What could go wrong: This is an observational study, not a treatment trial. The AI model may not prove accurate enough to change clinical practice, and results may not apply to all IVF patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

infertility disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

INFERTILITY INFERTILITY (IVF PATIENTS)

Contacts and locations

Locations

Dunamenti REK Reprodukcios Kozpont
RECRUITING

Budapest, 1205, Hungary

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