AI in the Embryology Lab: Can an Algorithm Read an Embryo?
- Dr. Cairong Yang — IVF Lab Manager, Senior Embryologist and Reproductive Scientist at New England Fertility Institute, New York
Obstetrics & Gynaecology
Artificial intelligence (AI) is transforming embryology by introducing data-driven approaches to embryo assessment and selection. Advanced algorithms analyse time-lapse imaging, morphokinetic patterns and morphological features to identify developmental characteristics associated with embryo viability and implantation potential. These technologies may improve consistency in embryo grading, reduce inter-observer variability and support more informed clinical decision-making during assisted reproductive treatment. The integration of AI into embryology laboratories also raises important questions regarding algorithm accuracy, clinical validation, data standardisation and reproducibility. Understanding how AI interprets embryonic development, its potential advantages and limitations, and its role alongside conventional assessment methods is essential for advancing precision embryo selection and optimising IVF laboratory practices.