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Artificial intelligence in the fertility clinic: status, pitfalls and possibilities

Permanent link
https://hdl.handle.net/10037/23966
DOI
https://doi.org/10.1093/humrep/deab168
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AI+in+ART.pdf (329.4Kb)
Accepted manuscript version (PDF)
Date
2021-07-29
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B.
Abstract
In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may become a promising tool to improve success rates with ART. AI models may compensate for the lack of objectivity in several critical procedures in fertility clinics, especially embryo and sperm assessments. Various models have been developed, and even though several of them show promising performance, there are still many challenges to overcome. In this review, we present recent research on AI in the context of ART. We discuss the strengths and weaknesses of the presented methods, especially regarding clinical relevance. We also address the pitfalls hampering successful use of AI in the clinic and discuss future possibilities and important aspects to make AI truly useful for ART.
Description
This is a pre-copyedited, author-produced version of an article accepted for publication in Human Reproduction following peer review. The version of record Riegler, Stensen, Witczak, Andersen, Hicks, Hammer, Delbarre, Halvorsen, Yazidi, Holst, Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. 2021 is available online at: https://doi.org/10.1093/humrep/deab168.
Publisher
Oxford University Press
Citation
Riegler, Stensen, Witczak, Andersen, Hicks, Hammer, Delbarre, Halvorsen, Yazidi, Holst, Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. 2021
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