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Using Artificial Intelligence to Analyze Oocyte Quality and Embryo Ploidy for Improved IVF Success
Led by Charles University, Czech Republic · Updated on 2025-01-22
1000
Participants Needed
4
Research Sites
13 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are studying infertility in men and women to improve assisted reproductive techniques using artificial intelligence AI. The study focuses on key factors affecting in vitro fertilization IVF success, such as the age of the woman, oocyte quality, maturation state, and sperm quality. AI will analyze a sequence of data starting with imaging the meiotic spindle in the oocyte, followed by paternal factors and early embryo development to predict embryo ploidy and pregnancy success. This approach aims to increase treatment efficiency and reduce costs by selecting the most promising candidates and minimizing the need for expensive laboratory tests. The intervention involves applying AI to automatically analyze microscopic images of oocytes and time-lapse videos of embryo development after intracytoplasmic sperm injection ICSI. The study uses image analysis and machine learning to assess the meiotic spindle and other oocyte features that may correlate with fertilization, pregnancy success, or genetic defects. Collaboration with technical and scientific institutes aims to develop software capable of predicting pregnancy probability and embryo ploidy status from these images and videos. Participants will undergo procedures including ICSI, preimplantation genetic testing, and time-lapse embryo recording. Data collected will be paired with pregnancy outcomes and embryo ploidy status. Researchers will evaluate sperm parameters in relation to fertilization and early embryo development. The primary outcome measured is the accuracy of AI in predicting embryo ploidy. The study involves detailed image and video analysis but does not involve treatment randomization. Participants involvement will include consent, image recording, and genetic testing, with the study expected to continue through March 2028.
CONDITIONS
Brief Title
Aftificial Inteligence in Assisted Reproductive Techniques to Assess Oocyte Quality and Embryo Ploidy
Research Team
J
Jaromir Masata, MD
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