Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction

• Main Authors: Bing-Xin Ma (Author), Guang-Nian Zhao (Author), Zhi-Fei Yi (Author), Yong-Le Yang (Author), Lei Jin (Author), Bo Huang (Author)
• Format: Book
• Published: BMC, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background The best method for selecting embryos ploidy is preimplantation genetic testing for aneuploidies (PGT-A). However, it takes more labour, money, and experience. As such, more approachable, non- invasive techniques were still needed. Analyses driven by artificial intelligence have...