Tuesday, September 2, 2025

MAIA: An AI-Powered Embryo Selection Tool for Enhancing Routine Clinical Testing in Embryology

The advancement of Assisted Reproductive Technology (ART) and artificial intelligence (AI) has revolutionized infertility treatment. Key studies, including Graham et al. (2023) and Jiang & Bormann (2023), explore short- and long-term ART outcomes and the integration of AI in IVF labs, enhancing embryo selection accuracy. Techniques like single vitrified blastocyst transfer, highlighted by Devine et al. (2015), maximize live births while reducing preterm births. Innovations in time-lapse imaging, detailed by Sciorio & Meseguer (2021), enable better embryo viability assessments, while AI-driven models, as noted by Khosravi et al. (2019) and Fruchter-Goldmeier et al. (2023), improve selection processes. Studies emphasize morphokinetic data and AI algorithms, contributing to successful embryo transfer outcomes (Zhu et al., 2023). Overall, ongoing research and AI integration promise a more precise, effective approach to ART, ensuring better reproductive health for diverse populations.

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