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

• Glavni autori: Bing-Xin Ma (Autor), Guang-Nian Zhao (Autor), Zhi-Fei Yi (Autor), Yong-Le Yang (Autor), Lei Jin (Autor), Bo Huang (Autor)
• Format: Knjiga
• Izdano: BMC, 2024-05-01T00:00:00Z.
• Teme: article
• Online pristup: 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...