{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T09:19:18Z","timestamp":1764667158715,"version":"3.46.0"},"reference-count":7,"publisher":"Media Sphere Publishing House","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Rus. J. Arch. Pathol."],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>The implementation of prostate-specific antigen (PSA) screening over the past decade has led to a significant increase in the number of primary prostate biopsies, thereby imposing a growing workload on pathology departments. Globally, considerable efforts are being directed towards developing artificial intelligence (AI) models capable of assisting pathologists in the morphological diagnosis of prostate cancer (PCa). Objective. Develop an AI-based model for detecting PCa in biopsy samples and compare its diagnostic performance with pathologists with varying levels of experience. Material and methods. A training dataset comprising 470 core biopsy specimens of prostate tissue from 86 patients was utilized. The AI model employed a U-Net neural network architecture. For testing, a separate dataset of 282 scanned specimens, not included in model training, was separated in 2 sets \u2014 1 and 2 (with 141 slides in each). This dataset consisted of 81 specimens with non-neoplastic prostate tissue and 201 specimens with adenocarcinoma structures. The study included 20 pathologists with varying levels of experience from 12 medical institutions in the Russian Federation, who evaluated each case on the \u00abPathVision.ai\u00bb platform. The diagnostic performance and agreement between the AI model and pathologists were assessed using comparative statistical analysis. Results. The AI-model demonstrated high diagnostic performance, with sensitivity of 0.99 [95% CI: 0.97\u20141.00], specificity of 0.93 [95% CI: 0.84\u20140.97], and accuracy of 0.98 [95% CI: 0.95\u20140.99] for detecting PCa. These metrics surpassed those of junior pathologists (sensitivity: 0.92 [95% CI: 0.91\u20140.94]; specificity: 0.89 [95% CI: 0.86\u20140.91]; accuracy: 0.91 [95% CI: 0.90\u20140.93]) and were comparable to those of experienced pathologists (sensitivity: 0.93 [95% CI: 0.91\u20140.95]; specificity: 0.94 [95% CI: 0.91\u20140.96]; accuracy: 0.94 [95% CI: 0.92\u20140.95]). Conclusion. Developed model \u00abPathVision.ai\u00bb in pilot study demonstrated high sensitivity, specificity and accuracy in the diagnosis of PCa in biopsy samples.<\/jats:p>","DOI":"10.17116\/patol20258706134","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T09:15:58Z","timestamp":1764666958000},"page":"34","source":"Crossref","is-referenced-by-count":0,"title":["Using the PathVision.ai model of medical decision support in morphological diagnostics of prostate cancer in biopsy material"],"prefix":"10.17116","volume":"87","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9437-4807","authenticated-orcid":false,"given":"G.V.","family":"Popov","sequence":"first","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2401-1746","authenticated-orcid":false,"given":"N.A.","family":"Gorban","sequence":"additional","affiliation":[{"name":"Central Clinical Hospital with a Polyclinic","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7801-9260","authenticated-orcid":false,"given":"D.S.","family":"Kushch","sequence":"additional","affiliation":[{"name":"Moscow Regional Science Research Clinical Institution named after M.F. Vladimirskiy","place":["Moscow, Russia"]},{"name":"Pirogov Russian National Research Medical University","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7094-0756","authenticated-orcid":false,"given":"P.A.","family":"Mayevskikh","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4710-8809","authenticated-orcid":false,"given":"A.A.","family":"Chub","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0419-4414","authenticated-orcid":false,"given":"V.A.","family":"Yurovskiy","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5607-0985","authenticated-orcid":false,"given":"A.E.","family":"Oksanenko","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1879-2338","authenticated-orcid":false,"given":"M.R.","family":"Ovsyannikova","sequence":"additional","affiliation":[{"name":"Main Military Clinical Hospital named after academician N.N. Burdenko","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4674-6908","authenticated-orcid":false,"given":"Yu.A.","family":"Gadelshina","sequence":"additional","affiliation":[{"name":"Main Military Clinical Hospital named after academician N.N. Burdenko","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0835-1545","authenticated-orcid":false,"given":"M.S.","family":"Pecherskaya","sequence":"additional","affiliation":[{"name":"Main Military Clinical Hospital named after academician N.N. Burdenko","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7396-5128","authenticated-orcid":false,"given":"N.Yu.","family":"Turovskaya","sequence":"additional","affiliation":[{"name":"Central Clinical Hospital with a Polyclinic","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6946-6146","authenticated-orcid":false,"given":"T.A.","family":"Demura","sequence":"additional","affiliation":[{"name":"I.M. Sechenov First Moscow State Medical University (Sechenov University)","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3725-082X","authenticated-orcid":false,"given":"V.R.","family":"Akhmadiyeva","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0717-6944","authenticated-orcid":false,"given":"V.A.","family":"Krivopuskov","sequence":"additional","affiliation":[{"name":"\u00abDigital oncomorphologist\u00bb Company","place":["Moscow, Russia"]},{"name":"Central Clinical Hospital with a Polyclinic","place":["Moscow, Russia"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"6743","reference":[{"key":"key-10.17116\/patol20258706134-1","doi-asserted-by":"publisher","DOI":"10.21886\/2308-6424-2023-11-1-26-33"},{"key":"key-10.17116\/patol20258706134-2","unstructured":"Kaprin AD, Starinskii VV, Shakhzadova AO, eds. The State of cancer care in Russia in 2022. M.: P.A. Hertsen Moscow Oncology Research Institute \u2014 Branch of the National Medical Research Radiological Centre of the Ministry of Health of Russia. 2023;239. (In Russ.)"},{"key":"key-10.17116\/patol20258706134-3","unstructured":"Ministry of Health of the Russian Federation. Order No. 404n of April 27, 2021 \u00abOn the Approval of the Procedure for Conducting Preventive Medical Examinations and Dispensary Observation of Certain Groups of the Adult Population\u00bb. (In Russ.)"},{"key":"key-10.17116\/patol20258706134-4","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(19)30738-7"},{"key":"key-10.17116\/patol20258706134-5","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01620-2"},{"key":"key-10.17116\/patol20258706134-6","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-024-02118-3"},{"key":"key-10.17116\/patol20258706134-7","doi-asserted-by":"publisher","DOI":"10.1038\/s41698-023-00424-6"}],"container-title":["Russian Journal of Archive of Pathology"],"original-title":[],"language":"en","deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T09:16:09Z","timestamp":1764666969000},"score":1,"resource":{"primary":{"URL":"https:\/\/mediasphera.ru\/issues\/arkhiv-patologii\/2025\/6\/1000419552025061034"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"references-count":7,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,12,2]]}},"alternative-id":["10.17116\/patol20258706134"],"URL":"https:\/\/doi.org\/10.17116\/patol20258706134","relation":{},"ISSN":["0004-1955"],"issn-type":[{"value":"0004-1955","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12,2]]}}}