Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Journal: Journal of assisted reproduction and genetics
PMID: 34031765

Abstract

PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the best models to predict IUI procedure outcomes.

Authors

  • Nejc Kozar
    Department of Reproductive Medicine and Gynaecological Endocrinology, Clinic for Gynaecology and Perinatology, University Medical Centre Maribor, Ljubljanska 5, 2000, Maribor, Slovenia. nejc@kozar.me.
  • Vilma Kovač
    Department of Reproductive Medicine and Gynaecological Endocrinology, Clinic for Gynaecology and Perinatology, University Medical Centre Maribor, Ljubljanska 5, 2000, Maribor, Slovenia.
  • Milan Reljič
    Department of Reproductive Medicine and Gynaecological Endocrinology, Clinic for Gynaecology and Perinatology, University Medical Centre Maribor, Ljubljanska 5, 2000, Maribor, Slovenia.

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