Aftificial Inteligence in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy
NCT06539104 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2025-01-22
Summary
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.
Conditions
- Infertility
- Infertility, Female
- Infertility, Male
- Infertility Unexplained
Interventions
- PROCEDURE
-
arteficial inteligence evaluation of oocyte and embryo development
apply AI to find out the complex oocyte quality, embryo development, embryo ploidy and pregnancy success probability from the sequence of the data starting from the recording of the meiotic spindle in polarized light, through paternal factors up to the time lapse record of early embryo development.
Sponsors & Collaborators
-
Czech Academy of Sciences
collaborator OTHER -
Czech Technical University in Prague
collaborator OTHER -
General University Hospital, Prague
collaborator OTHER -
Charles University, Czech Republic
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 49 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-01-05
- Primary Completion
- 2027-12-31
- Completion
- 2028-03-31
Countries
- Czechia
Study Locations
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