Researchers at Weill Cornell Medicine have developed an artificial intelligence-based system called BELA that can accurately assess the chromosomal status of in vitro-fertilized (IVF) embryos using only time-lapse video images of the embryos and maternal age. This new system is fully automated, objective, and does not require embryologists' subjective assessments of embryos. According to Dr. Iman Hajirasouliha, associate professor of physiology and biophysics, BELA offers a more accurate approach compared to prior methods, with greater predictive power due to the larger amount of image data used. The system was trained on a dataset of nearly 2,000 embryos and their ploidy status, and tested on new datasets from Weill Cornell Medicine and separate IVF clinics in Florida and Spain. Dr. Nikica Zaninovic, associate professor of embryology, led the embryology work for the study, which also involved Dr. Zev Rosenwaks, director of the Center for Reproductive Medicine at Weill Cornell Medicine. If confirmed in clinical trials, BELA could improve the efficiency of the IVF process and expand access to IVF care globally.
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