Developing an AI tool to predict embryo quality from time‑lapse incubator images
Official title: Multicenter Data Collection and Simulated-Use Assessment for CHLOE
Run by Fairtility · NCT07017972 · Data updated 2026-11-12
This project will test an AI program that analyzes time‑lapse embryo images to help embryologists identify higher‑quality embryos for people having IVF or egg‑freezing.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 4000 (estimated) |
| Sponsor | Fairtility Industry-sponsored |
| Locations | 1 site (Stamford, Connecticut) |
| Status | Recruiting |
| Started | June 20, 2025 |
| Main results expected | June 20, 2027 |
| Study ends | June 20, 2027 |
| Registry record updated | August 7, 2025 |
| Trial ID | NCT07017972 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Women aged 18 or older undergoing IVF or egg‑freezing whose eggs or embryos are cultured in a time‑lapse incubator and have available images are ideal candidates.
✕Probably not a fit
People whose embryos are not cultured in a compatible time‑lapse incubator, those under 18, or those without available embryo images are not eligible and are unlikely to benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational protocol collects high‑quality time‑lapse images and related clinical data from eggs and embryos cultured in a connected incubator to train and validate an embryo‑quality AI model. The data will be used for machine‑learning development, verification, and validation, not for direct clinical decision‑making. Professional simulated‑use sessions with embryologists will evaluate the user interface and workflow to ensure correct and easy use of the AI application. The work is developmental and aims to improve future AI‑based tools used in IVF care.
Why it matters
Potential benefit: If successful, the AI could help embryologists select embryos more consistently and accurately, which may improve IVF success rates and shorten time to pregnancy.
How similar studies have gone: Similar AI approaches for embryo selection have shown promising early results in retrospective and observational reports, but they require larger prospective validation before routine clinical use.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Images and data of eggs or embryos available from egg retrievals by women undergoing standard egg-freezing or In vitro fertilization (IVF) treatments, using their own eggs or donor eggs. 2. Women at least 18 years of age. 3. Embryos or eggs cultured in a time-lapse incubator connected to the AI Embryo Viewer. Exclusion Criteria: * Women with no available own or donor eggs.
Where it's running
-
New England Fertility Institute
Stamford, Connecticut, United States Recruiting
Study contacts
- Study coordinator: Pedro Pini, M.D
- Email: pedrogpini@gmail.com
- Phone: +541144704026
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.