Embryologist agreement when assessing blastocyst implantation probability: is data-driven prediction the solution to embryo assessment subjectivity?

Journal: Human reproduction (Oxford, England)
PMID: 35944167

Abstract

STUDY QUESTION: What is the accuracy and agreement of embryologists when assessing the implantation probability of blastocysts using time-lapse imaging (TLI), and can it be improved with a data-driven algorithm?

Authors

  • Daniel E Fordham
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Dror Rosentraub
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Avital L Polsky
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Talia Aviram
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Yotam Wolf
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Oriel Perl
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Asnat Devir
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Shahar Rosentraub
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • David H Silver
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Yael Gold Zamir
    Embryonics, Embryonics R&D Center, Haifa, Israel.
  • Alex M Bronstein
    Computer Science, Technion - Israel Institute of Technology, Haifa, 3200003, Israel.
  • Miguel Lara Lara
    Unidad de Reproducción Centro Gutenberg, Málaga, Spain.
  • Jara Ben Nagi
    Centre for Reproductive and Genetic Health, London, UK.
  • Adrian Alvarez
    Overture Life, AI Department, New York, NY, USA.
  • Santiago Munné
    Overture Life, AI Department, New York, NY, USA.

Keywords

External Resources

Popular Topics
Recent Journals