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  4. Artificial intelligence – a novel tool in assisted reproduction technology

Artificial intelligence – a novel tool in assisted reproduction technology

The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.

Period
01.10.2019 – 30.09.2023
Funding
Norges forskningsråd
Project owner
  • Faculty of Health Sciences (HV)
  • Department of Life Sciences and Health
  • Faculty of Technology, Art and Design (TKD)
Project leader
  • Trine B. Haugen
Project number
1234567

The fertility rates have declined in many industrialized countries during the last decades. This can partly be explained by social and economic conditions, but may also be due to a rise in fertility problems. Between 10 and 15 percent of couples are involuntarily childless.  

The evaluation of embryo and sperm is performed by embryologists, but there are no clear criteria for prediction of pregnancy. And this subjective assessment may not recognize important information for achieving pregnancy. 

The goal is to improve the methods for embryo and sperm selection and thereby increase the chance of pregnancy and ultimately a live born child. Another advantage may be to reduce the number of treatment cycles and to lower cost per treatment. 

Artificial intelligence (AI) methods are more and more accepted as an important tool in medicine and are especially suitable to obtain information from images. 

The results will be used to make a tool for fertility clinics to assist in clinical decisions. 

Project participants

  • Jorunn Marie Andersen

    Jorunn Marie Andersen

    • Associate Professor
    • +47 672 36 295
  • Erwan Delbarre

    Erwan Delbarre

    • Researcher
  • Eldri Undlien Due

    Eldri Undlien Due

    • Senior Engineer
    • +47 672 38 156
  • Hugo Lewi Hammer

    Hugo Lewi Hammer

    • Professor
    • +47 672 38 692
  • Trine B. Haugen

    Trine B. Haugen

    • Professor emerit
  • Lisbeth Charlotte Olsen

    Lisbeth Charlotte Olsen

    • Professor
    • +47 672 38 902
  • Michael Alexander Riegler

    Michael Alexander Riegler

    • Professor
    • +47 672 36 943
  • Oliwia Witczak

    Oliwia Witczak

    • Associate Professor
    • +47 672 36 277
  • Anis Yazidi

    Anis Yazidi

    • Professor
    • +47 672 38 595

External participants

  • Anne Hancke-Framstad, Fertilitetssenteret
  • Nicolai Holst, Fertilitetssenteret
  • Anniken S. Nøkleby, Fertilitetssenteret
  • Mette H. Stensen, Fertilitetssenteret
  • Steven A. Hicks, SimulaMet
  • Michael A. Riegler, SimulaMet

Featured research

  • Sperm cells seen through a microscope.
    • Information systems and technology

    In search of the ideal sperm cell

    Can artificial intelligence increase the success rate of assisted reproduction technology?

Publisert: 24.03.2023Sist oppdatert: 29.04.2025

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Partner institutions

The research project is an interdisciplinary collaboration between researchers from the Department of Life Sciences and Health and the Department of Computer Science at OsloMet, Simula Metropolitan Center for Digital Engineering, and the fertility clinic Fertilitetssenteret.