NCT07844083

Brief Summary

Embryo selection is one of the major challenges in Assisted Reproductive Technology (ART) in order to continuously improve clinical pregnancy rates. Morphological evaluation of embryos is the standard method used to assess embryo quality and to select the embryo to be transferred. However, this observational method has limitations: it can be subjective and may lead to inter- and intra-observer variability. To increase pregnancy rates, the transfer of two embryos may be proposed, which can result in high-risk multiple pregnancies. Despite the introduction of time-lapse systems and embryo selection algorithms aimed at increasing live birth rates, outcomes in ART remain suboptimal and can still be improved. The use of artificial intelligence (AI) is expanding in the medical field and is increasingly being applied in ART laboratories to optimize outcomes while avoiding multiple pregnancies. EMA™ is a secure artificial intelligence software platform developed by the company AiVF. The use of this software could allow a standardized and reproducible evaluation of embryo development up to the fifth day of embryonic culture. Through the application of an algorithm, the software may enable the selection of the embryo with the highest potential for achieving pregnancy. The primary objective of this study is to evaluate the use of the EMA™ artificial intelligence system in embryo selection for embryos cultured up to day 5, in comparison with the morphokinetic criteria currently used in the laboratory for the first fresh transfer of a day-5 embryo. The secondary objectives are to assess whether artificial intelligence (1) reduces the time to achieve pregnancy (defined as pregnancy achieved or not after the first transfer of a day-5 embryo) and (2) affects the miscarriage rate among patients treated in the ART CECOS unit. A medico-economic analysis will be conducted to evaluate the number of new patients undergoing an additional treatment attempt and to determine whether there is a correlated reduction in time to pregnancy by assessing the number of pregnancies achieved after the first transfer in patients already under treatment. A cost-effectiveness analysis will also be performed, comparing the cost-effectiveness ratios between the two study arms.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
550

participants targeted

Target at P75+ for not_applicable

Timeline
13mo left

Started Nov 2024

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress64%
Nov 2024Nov 2027

Study Start

First participant enrolled

November 4, 2024

Completed
1.8 years until next milestone

First Submitted

Initial submission to the registry

September 3, 2026

Completed
25 days until next milestone

First Posted

Study publicly available on registry

September 28, 2026

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2026

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2027

Last Updated

September 28, 2026

Status Verified

September 1, 2026

Enrollment Period

2 years

First QC Date

September 3, 2026

Last Update Submit

September 21, 2026

Conditions

Keywords

Artificial intelligenceEmbryo selectionIVF outcomeTime-lapse monitoring

Outcome Measures

Primary Outcomes (1)

  • Comparison of artificial intelligence (AI) Score and Laboratory Embryo Classification

    To evaluate the use of EMA artificial intelligence in embryo selection for embryos cultured through day 5, in comparison with the morphokinetic criteria (gardner classification) used in the laboratory for the first fresh transfer of an embryo cultured through day 5 of development. Gardner classification : The three blastocyst parameters will be assessed independently: the degree of blastocyst expansion, the quality of the inner cell mass, and the quality of the trophectoderm. These three parameters will then be pooled to generate an overall blastocyst classification.

    5 days

Secondary Outcomes (2)

  • Impact of AI on time to obtain a pregnancy

    up to 6 weeks

  • Impact of AI on miscarriage rates

    up to 6 weeks

Study Arms (2)

Manual procedure

NO INTERVENTION

The embryo to be transferred on day 5 is selected by the biologist.

Artificial intelligence

EXPERIMENTAL

The embryo to be transferred on day 5 is selected by the artificial intelligence software

Device: EMA

Interventions

EMADEVICE

Embryo selection on the 5th day of culture is performed using artificial intelligence

Artificial intelligence

Eligibility Criteria

Age18 Years - 37 Years
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • First attempt at assisted reproductive technology (ART) treatment using in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI)
  • Treatment for primary infertility of idiopathic or male origin, for single women or female couples
  • Use of fresh sperm from the partner or frozen donor sperm
  • Embryo culture up to the 105th hour of development (the time at which the score is assigned when selecting the embryo to be transferred to the uterus on the 5th day of development (D5))
  • First transfer of a fresh embryo on the 5th day of culture
  • Known Implantation Data (KID) (= clinical pregnancy confirmed by the presence of a heartbeat at 6 weeks via ultrasound)

You may not qualify if:

  • Use of frozen sperm from the spouse
  • No oocytes retrieved during oocyte retrieval
  • No blastocysts obtained on the 5th day of development
  • Embryo culture with transfer on the 2nd or 3rd day of development

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

CHU de Clermont-Ferrand

Clermont-Ferrand, 63001, France

RECRUITING

MeSH Terms

Conditions

Infertility

Condition Hierarchy (Ancestors)

Genital DiseasesUrogenital Diseases

Study Officials

  • Laure Chaput, PharmD, PhD

    ART unit

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 3, 2026

First Posted

September 28, 2026

Study Start

November 4, 2024

Primary Completion (Estimated)

November 1, 2026

Study Completion (Estimated)

November 1, 2027

Last Updated

September 28, 2026

Record last verified: 2026-09

Locations