Data Collection Protocol for the Development of CHLOE-OQ, an AI Model for Assessing Oocytes Quality.
ConditionFertility Disorders
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age18+
SponsorFairtility
About this trial
This data collection protocol is aimed to allow the reliable and robust development (training, verification, and validations) of CHLOE technology-based applications as well as improve the machine learning stage of released devices/applications. Additionally, a simulated use assessments will be conducted to ensure the correct and easy use of the CHLOE applications.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Women at least 18 years of age.
Embryos or eggs cultured in a time-lapse incubator connected to CHLOE Embryo Viewer.
Disqualifiers
Women with autologous eggs
Trial population
Oocyte donors
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
AI evaluation of oocytes.
DeviceAI evaluation of oocytes inside a time-lapse incubator.
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Area under the curve (AUC) will be quantified using logistic regression to assess CHLOE OQ's prediction of blastulation.
Time frame
7 days Source ClinicalTrials.gov