Artificial intelligence (AI) approaches to male infertility in IVF: a mapping review.

Journal: European journal of medical research
PMID: 40186251

Abstract

BACKGROUND: Male infertility contributes to 20-30% of infertility cases, yet traditional diagnostic and treatment methods face limitations in accuracy and consistency. Artificial intelligence (AI) promises to transform male infertility management within in vitro fertilization (IVF) by enhancing precision and efficiency.

Authors

  • Kowsar Qaderi
    Midwifery Department, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Foruzan Sharifipour
    Midwifery Department, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Mahsa Dabir
    Department of Medical Laboratory Science, School of Paramedical, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Roshanak Shams
    Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: Shams.rosha.86@gmail.com.
  • Ali Behmanesh
    Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. Electronic address: aa.behmanesh@gmail.com.

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