{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T09:26:35Z","timestamp":1790760395022,"version":"4.1.0"},"reference-count":8,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T00:00:00Z","timestamp":1762473600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Urol."],"abstract":"<jats:p>\n                    We conducted a prospective, single-center study (IRB 17\/2025) to validate an AI-enabled, computer-assisted semen analyzer (LensHooke\n                    <jats:sup>\u00ae<\/jats:sup>\n                    X1 PRO) operated by third- and fourth-year urology residents for the perioperative assessment of men undergoing loupe-assisted varicocelectomy at the University of Catania. The analyzer captured conventional and kinematic semen parameters according to the World Health Organization (WHO) 6th edition the day before and 3 months after surgery. In 42 patients (median age 31.5 years), the computer-assisted semen analysis (CASA) produced rapid, standardized readouts and showed statistically significant postoperative improvements across multiple parameters (p &amp;lt; 0.05). These findings support its concordance with manual analysis and underscore the value of integrating AI-based semen analysis into residency training to enhance accuracy, efficiency, and clinical decision-making in male infertility care.\n                  <\/jats:p>","DOI":"10.3389\/fruro.2025.1702569","type":"journal-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T05:20:42Z","timestamp":1762492842000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Validation of AI-based semen analysis by urologists in training: clinical impact after varicocelectomy"],"prefix":"10.3389","volume":"5","author":[{"given":"Giorgio Ivan","family":"Russo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Salvaggio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Giovanna","family":"Asmundo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,11,7]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1111\/bju.16412","article-title":"A systematic review on artificial intelligence evaluating PSMA PET scan for intraprostatic cancer","volume":"134","author":"Liu","year":"2024","journal-title":"BJU Int"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1111\/bju.16583","article-title":"Can artificial intelligence evaluate the quality of YouTube videos on erectile dysfunction","volume":"135","author":"Golan","year":"2025","journal-title":"BJU Int"},{"key":"B3","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.fertnstert.2023.05.157","article-title":"Artificial intelligence for sperm selection-a systematic review","volume":"120","author":"Cherouveim","year":"2023","journal-title":"Fertil Steril"},{"key":"B4","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1111\/bju.16205","article-title":"Sperm retrieval rate and patient factors in azoospermia factor c microdeletion azoospermia: a systematic review","volume":"134","author":"Jiao","year":"2024","journal-title":"BJU Int"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2025.1529262","article-title":"Ejaculatory abstinence duration impacts semen parameters: Insights from a retrospective analysis in male infertility on 23,527 analyses","volume":"16","author":"Russo","year":"2025","journal-title":"Front Endocrinol (Lausanne)"},{"key":"B6","volume-title":"WHO Laboratory Manual for the Examination and Processing of Human Semen","author":"Geneva","year":"2021"},{"key":"B7","doi-asserted-by":"publisher","first-page":"e13440","DOI":"10.1111\/and.13440","article-title":"Automation of human semen analysis using a novel artificial intelligence optical microscopic technology","volume":"51","author":"Agarwal","year":"2019","journal-title":"Andrologia"},{"key":"B8","doi-asserted-by":"publisher","first-page":"496","DOI":"10.5534\/wjmh.200185","article-title":"Validation of lensHooke\u00ae X1 PRO and computer-assisted semen analyzer compared with laboratory-based manual semen analysis","volume":"39","author":"Agarwal","year":"2021","journal-title":"World J Mens Health"}],"container-title":["Frontiers in Urology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fruro.2025.1702569\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T05:20:42Z","timestamp":1762492842000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fruro.2025.1702569\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,7]]},"references-count":8,"alternative-id":["10.3389\/fruro.2025.1702569"],"URL":"https:\/\/doi.org\/10.3389\/fruro.2025.1702569","relation":{},"ISSN":["2673-9828"],"issn-type":[{"value":"2673-9828","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,7]]},"article-number":"1702569"}}