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BRIEF RESEARCH REPORT article

Front. Urol.

Sec. Male Urology

This article is part of the Research TopicGenetic Implications in Male Infertility and Advances in Assisted Reproductive Technologies: Towards New Diagnostic and Therapeutic PerspectivesView all articles

Validation of AI-Based Semen Analysis by Urologists in Training: Clinical Impact after Varicocelectomy

Provisionally accepted
  • 1Department of Urology, University of Catania, Catania, Italy
  • 2Humanitas Istituto Clinico Catanese SpA, Catania, Italy

The final, formatted version of the article will be published soon.

We conducted a prospective single-center study (IRB 17/2025) to validate an AI-enabled computer-assisted semen analyzer (LensHooke® X1 PRO) operated by third-and fourth-year urology residents for perioperative assessment of men undergoing loupe-assisted varicocelectomy at the University of Catania, capturing WHO 6th-edition conventional and kinematic semen parameters the day before and 3 months after surgery. In 42 patients (median age 31.5 years), CASA produced rapid, standardized readouts and showed statistically significant postoperative improvements across multiple parameters (p<0.05), supporting its concordance with manual analysis and underscoring the value of integrating AI-based semen analysis into residency training to enhance accuracy, efficiency, and clinical decision-making in male infertility care.

Keywords: Infertility, sperm, Artificial inteleigence, Assisted reproductive techiques, Varicocele

Received: 10 Sep 2025; Accepted: 27 Oct 2025.

Copyright: © 2025 Russo, Salvaggio and Asmundo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Giorgio Ivan Russo, giorgioivan.russo@unict.it

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