U.S., Feb. 4 -- ClinicalTrials.gov registry received information related to the study (NCT07383480) titled 'Retrospective Evaluation Blastocyst Development by Artificial Intelligency' on Jan. 26.
Brief Summary: In assisted reproductive technology (ART), selecting the most viable embryos from a large number of fertilized eggs is crucial. While techniques like morphological assessment, time-lapse monitoring systems, and pre-implantation genetic testing have improved the process, implantation success rates remain limited. The introduction of artificial intelligence in embryo evaluation, such as automated systems like EMA by AIVFTM, provides a promising alternative to enhance the accuracy and effectiveness of embryo selection. This study aims ...