Does artificial intelligence have a role in the IVF clinic?

Darren J X Chow; Philip Wijesinghe; Kishan Dholakia; Kylie R Dunning

doi:10.1530/raf-21-0043

Does artificial intelligence have a role in the IVF clinic?

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

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Abstract

Lay summary 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 language	English
Pages (from-to)	C29-C34
Number of pages	6
Journal	Reproduction and Fertility
Volume	2
Issue number	3
DOIs	https://doi.org/10.1530/raf-21-0043
Publication status	Published - 15 Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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Cite this

@article{b4dc5bea55b24be082c036942d3abce7,

title = "Does artificial intelligence have a role in the IVF clinic?",

abstract = "Lay summary The success of IVF has remained stagnant for a decade. The focus of a great deal of research is to improve on the current \textasciitilde{}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.",

author = "Chow, \{Darren J X\} and Philip Wijesinghe and Kishan Dholakia and Dunning, \{Kylie R\}",

note = "Funding: 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).",

year = "2021",

month = sep,

day = "15",

doi = "10.1530/raf-21-0043",

language = "English",

volume = "2",

pages = "C29--C34",

journal = "Reproduction and Fertility",

issn = "2633-8386",