Helen Y Yang, Brian D Leahy, Won-Dong Jang, Donglai Wei, Yael Kalma, Roni Rahav, Ariella Carmon, Rotem Kopel, Foad Azem, Marta Venturas, Colm P Kelleher, Liz Cam, Hanspeter Pfister, Daniel J Needleman, Dalit Ben-Yosef
STUDY QUESTION: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpretable, clinically relevant features of human embryos in IVF? SUMMARY ANSWER: The BlastAssist pipeline can measure a comprehensive set of interpretable features of human embryos and either outperform or perform comparably to embryologists and human experts in measuring these features. WHAT IS KNOWN ALREADY: Some studies have applied deep learning and developed 'black-box' algorithms to predict embryo viability directly from microscope images and videos but these lack interpretability and generalizability...
February 23, 2024: Human Reproduction