Artificial Intelligence in Andrology: A New Frontier in Male Infertility Diagnosis and Treatment.

Journal: Current urology reports
PMID: 39992554

Abstract

PURPOSE OF REVIEW: Infertility affects approximately 15% of couples globally, with male-factor infertility contributing to about half of these cases. Despite advancements in reproductive medicine, particularly in surgical methods, the prevalence of male infertility remains high and underreported, often due to cultural stigmas. Traditional semen analysis, a crucial component in diagnosing male infertility, involves subjective assessments, leading to variability in results. This review explores the advancements and applications of Artificial Intelligence (AI) in diagnosing and treating male infertility, emphasizing its potential to revolutionize the field by providing reliable and efficient diagnostic tools and improving treatment outcomes.

Authors

  • Joseph Y Nashed
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
  • Kiera Liblik
    Department of Urology, Kingston Health Sciences Centre, Queen's University, Kingston, ON, Canada.
  • Ali Dergham
    Division of Urology, Department of Surgery, The Ottawa Hospital and University of Ottawa, Ottawa, ON, Canada.
  • Luke Witherspoon
    Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, British Columbia, Canada; Department of Urology, The Ottawa Hospital, Ottawa, Ontario, Canada.
  • Ryan Flannigan
    Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, British Columbia, Canada; Department of Urology, Weill Cornell Medicine, New York, New York. Electronic address: ryan.flannigan@ubc.ca.

Keywords

External Resources

Popular Topics
Recent Journals