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Journal of Assisted Reproduction and Genetics

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01-11-2020 | Fertility | Opinion

AI in the treatment of fertility: key considerations

Authors: Jason Swain, Matthew Tex VerMilyea, Marcos Meseguer, Diego Ezcurra, Fertility AI Forum Group

Published in: Journal of Assisted Reproduction and Genetics | Issue 11/2020

Abstract

Artificial intelligence (AI) has been proposed as a potential tool to help address many of the existing problems related with empirical or subjective assessments of clinical and embryological decision points during the treatment of infertility. AI technologies are reviewed and potential areas of implementation of algorithms are discussed, highlighting the importance of following a proper path for the development and validation of algorithms, including regulatory requirements, and the need for ecosystems containing enough quality data to generate it. As evidenced by the consensus of a group of experts in fertility if properly developed, it is believed that AI algorithms may help practitioners from around the globe to standardize, automate, and improve IVF outcomes for the benefit of patients. Collaboration is required between AI developers and healthcare professionals to make this happen.

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Title: AI in the treatment of fertility: key considerations
Authors: Jason Swain
Matthew Tex VerMilyea
Marcos Meseguer
Diego Ezcurra
Fertility AI Forum Group
Publication date: 01-11-2020
Publisher: Springer US
Keywords: Fertility
Infertility
Artificial Intelligence
Infertility
Published in: Journal of Assisted Reproduction and Genetics / Issue 11/2020
Print ISSN: 1058-0468
Electronic ISSN: 1573-7330
DOI: https://doi.org/10.1007/s10815-020-01950-z

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AI in the treatment of fertility: key considerations

Abstract

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Abstract

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