Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.

Journal: Journal of assisted reproduction and genetics
Published Date: Sep 1, 2018

Abstract

Mathematics rules the world of science. Innovative technologies based on mathematics have paved the way for implementation of novel strategies in assisted reproduction. Ascertaining efficient embryo selection in order to secure optimal pregnancy rates remains the focus of the in vitro fertilization scientific community and the strongest driver behind innovative approaches. This scoping review aims to describe and analyze complex models based on mathematics for embryo selection, devices, and software most widely employed in the IVF laboratory and algorithms in the service of the cutting-edge technology of artificial intelligence. Despite their promising nature, the practicing embryologist is the one ultimately responsible for the success of the IVF laboratory and thus the one to approve embracing pioneering technologies in routine practice. Applied mathematics and computational biology have already provided significant insight into the selection of the most competent preimplantation embryo. This review describes the leap of evolution from basic mathematics to bioinformatics and investigates the possibility that computational applications may be the means to foretell a promising future for the IVF clinical practice.

Authors

  • Mara Simopoulou
    Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias, 11527, Athens, Greece. marasimopoulou@hotmail.com.
  • Konstantinos Sfakianoudis
    Centre for Human Reproduction, Genesis Athens Clinic, 14-16, Papanikoli, 15232, Athens, Greece.
  • Evangelos Maziotis
    Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias, 11527, Athens, Greece.
  • Nikolaos Antoniou
    Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias, 11527, Athens, Greece.
  • Anna Rapani
    Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias, 11527, Athens, Greece.
  • George Anifandis
    Department of Histology and Embryology, Faculty of Medicine, University of Thessaly, 3, Panepistimiou, 41500, Larissa, Greece.
  • Panagiotis Bakas
    Assisted Conception Unit, 2nd Department of Obstetrics and Gynecology, Aretaieion Hospital, Medical School, National and Kapodistrian University of Athens, 76, Vasilisis Sofias Avenue, 11528, Athens, Greece.
  • Stamatis Bolaris
    Assisted Conception Unit, General-Maternity District Hospital "Elena Venizelou", 2, Helena Venizelou Square, 11521, Athens, Greece.
  • Agni Pantou
    Centre for Human Reproduction, Genesis Athens Clinic, 14-16, Papanikoli, 15232, Athens, Greece.
  • Konstantinos Pantos
    Centre for Human Reproduction, Genesis Athens Clinic, 14-16, Papanikoli, 15232, Athens, Greece.
  • Michael Koutsilieris
    Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias, 11527, Athens, Greece.

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