Artificial Intelligence for Clinical Management of Male Infertility, a Scoping Review.

Journal: Current urology reports
PMID: 39520645

Abstract

PURPOSE OF REVIEW: Infertility impacts one in six couples worldwide, with male infertility contributing to approximately half of these cases. However, the causes of infertility remain incompletely understood, and current methods of clinical management are cost-restrictive, time-intensive, and have limited success. Artificial intelligence (AI) may help address some of these challenges. In this review, we synthesize recent literature in AI with implications for the clinical management of male infertility.

Authors

  • Noopur Naik
    Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, OH, USA. naikn2@ccf.org.
  • Bradley Roth
    School of Medicine, University of California, Irvine, CA; Department of Radiological Sciences, University of California, Irvine, CA. Electronic address: rothbj@hs.uci.edu.
  • Scott D Lundy
    Department of Urology, Cleveland Clinic Foundation, Glickman Urological and Kidney Institute, Cleveland, OH, 44195, USA.

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