Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI
A fully automated radiomics software for clinically significant prostate cancer detection on biparametric MRI was prospectively clinically validated. The software demonstrated feasibility and safety, with potential to reduce unnecessary biopsies and improve diagnostic accuracy. The investigated radiomics software has the potential for integration into clinical prostate cancer care.
Authors
- Sverre Langørgen
- Gabriel A. Nketiah
- Petter Davik
- T Bathen
- Mattijs Elschot
- Rebecca Segre
- Mohammed R. S. Sunoqrot
- Torill A. E. Sjøbakk
Institutions
- Norwegian University of Science and Technology (NO)
- St Olav's University Hospital (NO)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-01-26
- DOI
- https://doi.org/10.1186/s13244-025-02199-9
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norges Teknisk-Naturvitenskapelige Universitet
- Helse Midt-Norge
- Norges Forskningsråd
- St. Olavs Hospital Universitetssykehuset i Trondheim
- Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet
- Faculty of Medicine and Health, University of Sydney