Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.

Journal: Human reproduction (Oxford, England)
Published Date: Apr 28, 2020

Abstract

STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using images captured by optical light microscopy?

Authors

  • M VerMilyea
    Laboratory Operations, Ovation Fertility, Austin, TX 78731, USA.
  • J M M Hall
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • S M Diakiw
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • A Johnston
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • T Nguyen
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • D Perugini
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • A Miller
    Laboratory Operations, Ovation Fertility, Austin, TX 78731, USA.
  • A Picou
    Laboratory Operations, Ovation Fertility, Austin, TX 78731, USA.
  • A P Murphy
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • M Perugini
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.

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