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Because of the well-known interobserver variability in diagnosis and grading of prostate cancer, we have studied the capability of a commercially available artificial intelligence (AI) solution to aid in the diagnosis of PCa in a non-expert setting. For this, 2828\u00a0H&amp;E stained NCBS slides from 249 cases were digitised to produce whole slide images (WSI) and subjected to second-read analysis using the Ibex prostate AI solution. Ground truth was established by a combination of primary pathologists\u2019 diagnoses supplemented by immunohistochemistry and external expert revision. For cancer detection, the AI solution achieved a false negative rate of 0.2%, significantly lower than that of the reporting pathologists (1.5%). False positive rates were similar for reporting pathologists (2.3%) and prostate AI solution (3.1%). A Gleason pattern 4 alert was raised by the AI solution in 2 of 29 cases (7%) of cases originally diagnosed as Gleason score 3\u2009+\u20093, both of which were upheld after expert review. Because of the therapeutic consequences, the triggering of a \u201chigher than 3\u2009+\u20093 Gleason score\u201d alert represents a useful safety feature. In conclusion, our findings support the growing evidence that by enhancing diagnostic accuracy AI-based diagnostic solutions can play a pivotal role in alleviating the increasing workload faced by pathologists due to the rising global incidence of prostate cancer.<\/jats:p>","DOI":"10.1007\/s00428-026-04594-z","type":"journal-article","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T08:07:30Z","timestamp":1780474050000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An artificial intelligence solution for evaluation of prostate needle core biopsy specimens: impact in a non-specialist setting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4474-1882","authenticated-orcid":false,"given":"Gerald","family":"Niedobitek","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gernot","family":"Schmitz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Fella","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Theunissen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuela","family":"Vecsler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jens","family":"K\u00f6llermann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,3]]},"reference":[{"key":"4594_CR1","doi-asserted-by":"publisher","first-page":"2300","DOI":"10.3390\/curroncol30020178","volume":"30","author":"CV Berenguer","year":"2023","unstructured":"Berenguer CV, Pereira F, C\u00e2mara JS, Pereira JAM (2023) Underlying features of prostate cancer\u2014statistics, risk factors, and emerging methods for its diagnosis. 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Specifically, all tissue samples were obtained for diagnostic purposes and were analysed in an anonymised manner.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}},{"value":"The authors declare no competing financial or non-financial interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}