ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraaknorsk 
    • EnglishEnglish
    • norsknorsk
  • Administrasjon/UB
Vis innførsel 
  •   Hjem
  • Fakultet for naturvitenskap og teknologi
  • Institutt for informatikk
  • Artikler, rapporter og annet (informatikk)
  • Vis innførsel
  •   Hjem
  • Fakultet for naturvitenskap og teknologi
  • Institutt for informatikk
  • Artikler, rapporter og annet (informatikk)
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Permanent lenke
https://hdl.handle.net/10037/23966
DOI
https://doi.org/10.1093/humrep/deab168
Thumbnail
Åpne
AI+in+ART.pdf (329.4Kb)
Akseptert manusversjon (PDF)
Dato
2021-07-29
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
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.
Sammendrag
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.
Beskrivelse
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.
Forlag
Oxford University Press
Sitering
Riegler, Stensen, Witczak, Andersen, Hicks, Hammer, Delbarre, Halvorsen, Yazidi, Holst, Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. 2021
Metadata
Vis full innførsel
Samlinger
  • Artikler, rapporter og annet (informatikk) [477]
Copyright 2021 The Author(s)

Bla

Bla i hele MuninEnheter og samlingerForfatterlisteTittelDatoBla i denne samlingenForfatterlisteTittelDato
Logg inn

Statistikk

Antall visninger
UiT

Munin bygger på DSpace

UiT Norges Arktiske Universitet
Universitetsbiblioteket
uit.no/ub - munin@ub.uit.no

Tilgjengelighetserklæring