Does artificial intelligence have a role in the IVF clinic?

Darren J.X. Chow, Philip Wijesinghe, Kishan Dholakia, Kylie R. Dunning

Research output: Contribution to journalArticlepeer-review

Abstract

The success of IVF has remained stagnant for a decade. The focus of a great deal of research is to improve on the current ~30% success rate of IVF. Artificial intelligence (AI), or machines that mimic human intelligence, has been gaining traction for its potential to improve outcomes in medicine, such as cancer diagnosis from medical images. In this commentary, we discuss whether AI has the potential to improve fertility outcomes in the IVF clinic. Based on existing research, we examine the potential of adopting AI within multiple facets of an IVF cycle, including egg/sperm and embryo selection, as well as formulation of an IVF treatment regimen. We discuss both the potential benefits and concerns of the patient and clinician in adopting AI in the clinic. We outline hurdles that need to be overcome prior to implementation. We conclude that AI has an important future in improving IVF success.

Original languageEnglish
Pages (from-to)C29-C34
JournalReproduction and Fertility
Volume2
Issue number3
DOIs
Publication statusPublished - 2021 Jul

Bibliographical note

Funding Information:
K R D is supported by a Mid-Career Fellowship from the Hospital Research

Funding Information:
K R D is supported by a Mid-Career Fellowship from the Hospital Research Foundation (C-MCF-58-2019). K D is supported by the UK Engineering and Physical Sciences Research Council (grants EP/P030017/1 and EP/R004854/1).

Publisher Copyright:
© 2021 The authors

All Science Journal Classification (ASJC) codes

  • Embryology
  • Obstetrics and Gynaecology
  • Reproductive Medicine
  • Urology

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