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

Journal: Human reproduction (Oxford, England)
Published Date:

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.

Authors

  • M A Riegler
    Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
  • M H Stensen
    Fertilitetssenteret, Oslo, Norway.
  • O Witczak
    Department of Life Sciences and Health, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • J M Andersen
    Department of Life Sciences and Health, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • S A Hicks
    Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
  • H L Hammer
    Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
  • E Delbarre
    Department of Life Sciences and Health, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • P Halvorsen
    Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
  • A Yazidi
    Department of Computer Science, Faculty of Technology, Art and Design, OsloMet-Oslo Metropolitan University, Oslo, Norway.
  • N Holst
    Fertilitetssenteret, Oslo, Norway.
  • T B Haugen
    Department of Life Sciences and Health, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway.