Abstract (ALPHA 2024): Embryologists display low levels of agreement in predicting fertilization and blastocyst development success from a set of mature oocyte images, highlighting the need for a standard oocyte assessment tool
Abstract (Fertility 2024): Embryologists’ predictions do not improve an artificial intelligence (AI) tool’s prediction of blastocyst development from mature (metaphase II, MII) oocytes when augmented in ensemble models
Innovation in Reproductive Technology Proposal (COGI 2023): A Deep Learning Model (DLM) To Predict Blastocyst Development From Metaphase II (MII) Oocytes
Abstract (ESHRE 2023): Artificial intelligence (AI)-supported MAGENTA oocyte assessments shown to prospectively correlate with utilizable blastocyst development in patients, and for the first time in oocyte donors
Abstract (ESHRE 2023): Clinical limitations of manual oocyte quality scoring by embryologists are overcome by an artificial intelligence (AI) oocyte image analysis tool
Abstract (ESHRE 2023): Artificial intelligence (AI) image analysis outperforms patient age as a surrogate marker for oocyte quality, demonstrating an increased accuracy in predicting blastocyst development
Abstract (PCRS 2023): The Impact Of A Non-invasive Artificial Intelligence (AI) Oocyte Scoring System On Subsequent Embryo Development In Group Culture
Abstract (ASRM 2022): A Non-Invasive, 2-Dimensional (2D) Image Analysis Artificial Intelligence (AI) Tool Scores Mature Oocytes and Correlates With the Quality of Subsequent Blastocyst Development
Abstract (ESHRE 2022): Non-invasive AI image analysis unlocks the secrets of oocyte quality and reproductive potential by assigning ‘Magenta’ scores from 2D microscope images