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AI could help IVF doctors pick the best embryo

NCT ID NCT06408389

Knowledge-focused Sponsor: Assistance Publique - Hôpitaux de Paris Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study will analyze videos of developing embryos from 1,500 IVF cycles to see if a computer algorithm can predict which ones will successfully implant in the womb. Researchers will combine embryo growth patterns with patient health data to train the algorithm. The goal is to create a more objective tool to help doctors choose the embryo with the best chance of leading to a live birth.

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 lead to a more reliable way to choose the best embryo for IVF, potentially increasing pregnancy success rates.
What could go wrong
This is an early, retrospective study using existing data. The algorithm may not work as well in real-time or in different fertility clinics, and it does not test a new treatment.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

About 1,500 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Nov 2025

An estimate. Start dates often move.

Expected to finish

Nov 2028

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Couples enrolled in an IVF process (conventional IVF or with sperm micro-injection (ICSI))

Ages

18 to 43 years

Sex

Anyone

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Couples enrolled in an IVF process and with embryos cultured in time-lapse * Couples informed non opposed to research Exclusion Criteria: * Couples opposed to research * Couples under curator or tutorship * Couples under state xxx

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  2. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

More trials for these conditions

Other studies related to the condition(s) this trial covers.