Using the PathVision.ai model of medical decision support in morphological diagnostics of prostate cancer in biopsy material
Developed model «PathVision.ai» in pilot study demonstrated high sensitivity, specificity and accuracy in the diagnosis of PCa in biopsy samples.
Authors
- G.V. Popov (ORCID: https://orcid.org/0009-0009-9437-4807)
- A.A. Chub (ORCID: https://orcid.org/0009-0004-4710-8809)
- N. A. Gorban (ORCID: https://orcid.org/0009-0001-2401-1746)
- Darya Kushch (ORCID: https://orcid.org/0000-0001-7801-9260)
- Maria Ovsyannikova (ORCID: https://orcid.org/0009-0005-1879-2338)
- В. А. Кривопусков (ORCID: https://orcid.org/0009-0001-0717-6944)
- Т. А. Демура (ORCID: https://orcid.org/0000-0002-6946-6146)
- Vladimir Yurovskiy (ORCID: https://orcid.org/0009-0006-0419-4414)
- M.S. Pecherskaya (ORCID: https://orcid.org/0000-0003-0835-1545)
- Yu.A. Gadelshina (ORCID: https://orcid.org/0009-0003-4674-6908)
- N.Yu. Turovskaya (ORCID: https://orcid.org/0009-0007-7396-5128)
- V.R. Akhmadiyeva (ORCID: https://orcid.org/0009-0007-3725-082X)
- P.A. Mayevskikh (ORCID: https://orcid.org/0009-0005-7094-0756)
- A.E. Oksanenko (ORCID: https://orcid.org/0009-0005-5607-0985)
Institutions
- Sechenov University (RU)
- Pirogov Russian National Research Medical University (RU)
- Institute of Molecular Pathology and Pathomorphology (RU)
- Central Clinical Hospital (PL)
- Regional Clinical Research (US)
Publication Details
- Journal
- Russian Journal of Archive of Pathology
- Published
- 2025-12-02
- DOI
- https://doi.org/10.17116/patol20258706134
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00