Use of federated learning to develop an artificial intelligence model predicting usable blastocyst formation from pre-ICSI oocyte images.

Journal: Reproductive biomedicine online
PMID:

Abstract

RESEARCH QUESTION: Can federated learning be used to develop an artificial intelligence (AI) model for evaluating oocyte competence using two-dimensional images of denuded oocytes in metaphase II prior to intracytoplasmic sperm injection (ICSI)?

Authors

  • J M M Hall
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • T V Nguyen
    Presagen, Adelaide, SA, 5000, Australia. tuc@presagen.com.
  • A W Dinsmore
    California Fertility Partners, Los Angeles, CA, 90025, USA.
  • D Perugini
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • M Perugini
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.
  • N Fukunaga
    Asada Institute for Reproductive Medicine, Nagoya, Japan.
  • Y Asada
    Asada Ladies Clinic, Nagoya, Japan.
  • M Schiewe
    California Fertility Partners, Los Angeles, CA, USA.
  • A Y X Lim
    Alpha IVF and Women's Specialists, Petaling Jaya, Selangor, Malaysia.
  • C Lee
    Department of Biomaterials Science, Osaka University Graduate School of Dentistry, Suita, Japan.
  • N Patel
    Akanksha Hospital and Research Institute, Anand, Gujarat, India.
  • H Bhadarka
    Akanksha Hospital and Research Institute, Anand, Gujarat, India.
  • J Chiang
    Kensington Green Specialist Centre, Iskandar Puteri, Johor, Malaysia.
  • D P Bose
    Indore Infertility Clinic, Indore, Madhya Pradesh, India.
  • S Mankee-Sookram
    Trinidad and Tobago IVF and Fertility Centre, Maraval, Trinidad, Trinidad and Tobago.
  • C Minto-Bain
    Trinidad and Tobago IVF and Fertility Centre, Maraval, Trinidad, Trinidad and Tobago.
  • E Bilen
    Dokuz Eylül University, Inciraltı, Balçova/İzmir, Turkey.
  • S M Diakiw
    Life Whisperer Diagnostics, Presagen Pty Ltd., Adelaide, SA 5000, Australia.