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Study identifier: NCT06539104 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Aftificial Inteligence in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy

Condition: Infertility · Infertility, Female · Infertility, Male  ·  Sponsor: Charles University, Czech Republic

PhaseN/A
Planned participants1000
Who can joinAll sexes, 18 Years to 49 Years
Healthy volunteersNo

About this study

The assisted reproduction success rate is affected by several factors including the age of the women, oocyte quality and maturation state, as well as sperm quality. Imaging of the meiotic spindle may be crucial for determining the oocyte maturation. Artificial intelligence (AI) will be applied to establish the complex oocyte quality, embryo ploidy and pregnancy success probability from the sequence of data, starting with the recording of the meiotic spindle in polarized light, through paternal factors up to the time lapse recording of early embryo development. This strategy should reduce the cost of fertility treatment thanks to increased efficiency in choosing the most promising candidates and reducing the need for costly laboratory analyses.

This description comes directly from the study's public registry record.

Talk to the study team

Jaromir Masata, MD  ·  +420603444662  ·  masata@volny.cz

Always discuss trial participation with your own doctor first.

Locations (4)

General University Hospital in PraguePrague, CzechiaRecruiting
Czech Technical University in PraguePrague, CzechiaRecruiting
Institute of Physics AS CRPrague, CzechiaRecruiting
Biocev As CrVestec, CzechiaRecruiting

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Source record: clinicaltrials.gov/study/NCT06539104