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Aftificial Inteligence in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy
Sponsor: Charles University, Czech Republic
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.
Official title: Scanning the Meiotic Spindle in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy Evaluated by Artificial Intelligence (SMARTAI Study)
Key Details
Gender
All
Age Range
18 Years - 49 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2024-01-05
Completion Date
2028-03-31
Last Updated
2025-01-22
Healthy Volunteers
No
Interventions
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.
Locations (4)
General University Hospital in Prague
Prague, Czechia
Czech Technical University in Prague
Prague, Czechia
Institute of Physics AS CR
Prague, Czechia
Biocev As Cr
Vestec, Czechia