mdprostate enables AI-based evaluation of prostate MRIs through automatic identification and classification of lesions according to PI-RADS 2.1. The output includes comprehensive quantitative reports and visual overlays directly integrated into the PACS system, with the lesions marked on a sector map.

The automated graphical presentation, including the overview of prostate volume, lesion size, ADC values, and optionally PSA density, accelerates and simplifies the classification.
Product specifications Information source: Vendor
Last updated: Aug. 23, 2023
Product name mdprostate
Company mediaire
Subspeciality Abdomen
Modality MR
Disease targeted Prostate cancer
Key-features Automated segmentation of the prostate with volume calculation, detection and evaluation of suspicious lesions, classification of lesions according to PI-RADS 2.1 and determination of relevant parameters (e.g., extent, EPE, index lesion), PSA density.
Suggested use During: interactive decision support (shows abnormalities/results only on demand), report suggestion
After: diagnosis verification
Data characteristics
Population Patients suspected of (initial diagnosis), or diagnosed with (follow-up) prostate cancer.
Input 1.5T or 3T MRI systems. Sequences included in the evaluation: T2-weighted, DWI, ADC
Input format DICOM
Output PDF report with: - Tabular overview of detected lesions and their analysis - Prostate volume (optional PSA density) - Slices of the most significant lesions - Schematic representation of detected lesions ≥ PI-RADS 3 Color-coded segmentation overlays
Output format PDF, DICOM-PDF, browser-based platform, CSV-Export file
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 2 - 3 minutes
Certified, Class IIb , MDR
No or not yet
Market presence
On market since 08-2023
Distribution channels
Countries present (clinical, non-research use) 11
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use
Based on Number of analyses
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers