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Scanning the Meiotic Spindle in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy Evaluated by Artificial Intelligence (SMARTAI Study)

Status: Recruiting
Intervention Type: Procedure
Study Type: Observational
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 49
Healthy Volunteers: f
View:

• Intracytoplasmatic Sperm Injection

• Preimplantation genetic testing

• Time lapse embryo record

• Singned informed consent

Contact Information
Primary
Jaromir Masata, MD
masata@volny.cz
+420603444662
Time Frame
Start Date: 2024-01-05
Estimated Completion Date: 2028-03-31
Participants
Target number of participants: 1000
Related Therapeutic Areas
Sponsors
Collaborators: General University Hospital, Prague, Czech Academy of Sciences, Czech Technical University in Prague
Leads: Charles University, Czech Republic

This content was sourced from clinicaltrials.gov