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

• Päätekijät: Bing-Xin Ma (Tekijä), Guang-Nian Zhao (Tekijä), Zhi-Fei Yi (Tekijä), Yong-Le Yang (Tekijä), Lei Jin (Tekijä), Bo Huang (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: BMC, 2024-05-01T00:00:00Z.
• Aiheet: article
• Linkit: 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...