Evaluation of an artificial intelligence-facilitated sperm detection tool in azoospermic samples for use in ICSI.

Journal: Reproductive biomedicine online
PMID:

Abstract

RESEARCH QUESTION: Can artificial intelligence (AI) improve the efficiency and efficacy of sperm searches in azoospermic samples?

Authors

  • Dale M Goss
    School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia.; NeoGenix Biosciences Pty Ltd, Sydney, New South Wales, Australia.; IVFAustralia, Sydney, New South Wales, Australia.
  • Steven A Vasilescu
    School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia.; NeoGenix Biosciences Pty Ltd, Sydney, New South Wales, Australia.
  • Phillip A Vasilescu
    NeoGenix Biosciences Pty Ltd, Sydney, New South Wales, Australia.
  • Simon Cooke
    IVFAustralia, Sydney, New South Wales, Australia.
  • Shannon Hk Kim
    IVFAustralia, Sydney, New South Wales, Australia.; University of New South Wales, Sydney, New South Wales, Australia.
  • Gavin P Sacks
    School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia.; IVFAustralia, Sydney, New South Wales, Australia.; University of New South Wales, Sydney, New South Wales, Australia.
  • David K Gardner
    School of BioSciences, University of Melbourne, Melbourne, VIC 3010, Australia.
  • Majid E Warkiani
    School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia.; NeoGenix Biosciences Pty Ltd, Sydney, New South Wales, Australia.; Institute for Biomedical Materials & Devices (IBMD), University of Technology Sydney, Sydney, New South Wales, Australia.. Electronic address: majid.warkiani@uts.edu.au.