A new artificial intelligence-based system can accurately assess the chromosomal status of in vitro-fertilized (IVF) embryos using only time-lapse video images of the embryos and maternal age, according to a study from investigators at Weill Cornell Medicine.
Weill Cornell Medicine Oct 22 2024 A new artificial intelligence-based system can accurately assess the chromosomal status of in vitro-fertilized embryos using only time-lapse video images of the embryos and maternal age, according to a study from investigators at Weill Cornell Medicine .
The study's first author was Suraj Rajendran, a doctoral student in Dr. Hajirasouliha's laboratory. The embryology work for the study was headed by Dr. Nikica Zaninovic, associate professor of embryology in clinical obstetrics and gynecology and director of the Embryology Laboratory at the Ronald O. Perelman and Claudia Cohen Center for Reproductive Medicine at Weill Cornell Medicine and NewYork-Presbyterian/Weill Cornell Medical Center. Dr.
The researchers trained the model on a Weill Cornell Medicine CRM deidentified dataset with image sequences of nearly 2,000 embryos and their PGT-A-tested ploidy status. They then tested the model on new Weill Cornell Medicine CRM datasets and those from separate, large IVF clinics in Florida and Spain. They found that the model predicted ploidy status with moderately higher accuracy than previous versions and worked well for the external and internal datasets.
Embryo IVF Embryology Gynecology In Vitro Laboratory Medicine Microscope Obstetrics
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