Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation.

Journal: Reproductive biomedicine online
Published Date:

Abstract

RESEARCH QUESTION: Can a deep machine learning artificial intelligence algorithm predict ploidy and implantation in a known data set of static blastocyst images, and how does its performance compare against chance and experienced embryologists?

Authors

  • Alejandro Chavez-Badiola
    New Hope Fertility Center Mexico, Research and Development, Guadalajara, PC, 44630, Mexico. drchavez-badiola@nhfc.mx.
  • Adolfo Flores-Saiffe-Farías
    New Hope Fertility Center Mexico. Av. Prado Norte 135, Lomas de Chapultepec, Miguel Hidalgo, Mexico City, Mexico CP 11000; IVF 2.0 LTD, 1 Liverpool Road, Maghull, Merseyside, UK.
  • Gerardo Mendizabal-Ruiz
    Universidad de Guadalajara, Departamento de Ciencias Computacionales, Guadalajara, PC, 44430, Mexico.
  • Andrew J Drakeley
    Hewitt Centre for Reproductive Medicine, Clinical Director, Liverpool, PC, L8 7SS, United Kingdom.
  • Jacques Cohen
    IVF 2.0 LTD, 1 Liverpool Road, Maghull, Merseyside, UK; ART Institute of Washington, Bethesda Maryland, USA; IVFqc, 1185 Sixth Avenue, New York New York, USA.