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Journal of Assisted Reproduction and Genetics

Erschienen in:

29.09.2020 | Opinion

AI in the treatment of fertility: key considerations

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

Erschienen in: Journal of Assisted Reproduction and Genetics | Ausgabe 11/2020

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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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Titel: AI in the treatment of fertility: key considerations
verfasst von: Jason Swain
Matthew Tex VerMilyea
Marcos Meseguer
Diego Ezcurra
Fertility AI Forum Group
Publikationsdatum: 29.09.2020
Verlag: Springer US
Erschienen in: Journal of Assisted Reproduction and Genetics / Ausgabe 11/2020
Print ISSN: 1058-0468
Elektronische ISSN: 1573-7330
DOI: https://doi.org/10.1007/s10815-020-01950-z

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Springer Medizin

AI in the treatment of fertility: key considerations

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