Vendor source
Reviewed 15 Jul 2026
Completeness Strong (75%)
Currently only available with Siemens Healthineers' syngo.via Siemens Healthineers Prostate MR on syngo.via supports prostate MRI reading and reporting. By deploying artificial intelligence, Prostate MR assists in the interpretation of multiparametric Prostate MRI. The deep neural networks of Prostate MR are designed to aid the detection and classification of prostate lesions and generate a pre-populated report. The results can be exported as a RTSS object which is then used in TRUS-guided biopsy by the urologist. The product is not commercially available in some countries, e.g. the US. Due to regulatory reasons the future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details.
Supported by 8 papers



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MDD
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Class IIa
Verified by Health AI Register
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Evidence & Research
Peer-Reviewed Papers
AI-based prostate volume on MRI in screening of 50-year-old men and its impact on PSA density–based biopsy decisions
European Journal of Radiology Artificial Intelligence · Apr 2026
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study
Radiology · Mar 2025
Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracy
Quantitative Imaging in Medicine and Surgery · Mar 2025
Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI
Cancers · Feb 2025
Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI‐algorithm for lesion detection and classification
The Prostate · Mar 2023
A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists
European Radiology · Jul 2022
Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience
European Journal of Radiology · Aug 2021
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate
Investigative Radiology · Mar 2021
Other Articles
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Source: Vendor | First published: Jul 19, 2023 | Last updated: Jul 15, 2026