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Productsmdprostate

Vendor source

Reviewed 15 Jul 2026

Completeness Strong (69%)

mdprostate

mediaire

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

The automated graphical presentation, including the overview of prostate volume, lesion size, ADC values, and optionally PSA density, is aimed at accelerating and simplifying the evaluation.

Supported by 2 papers

mdprostate
mdprostate
mdprostate
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Key Features

  • Automated comparison to earlier examinations.
  • Automated segmentation of the prostate with volume calculation
  • Classification of lesions according to pi-rads 2.1 and determination of relevant parameters (e.g.
  • Detection and evaluation of suspicious lesions
  • EPE
  • Extent
  • Index lesion)

General Information

Product name

mdprostate

Company

Modality

MR

Main task

Not specified

Subspeciality

Abdomen

Disease targeted

Prostate cancer

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

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 change compared to preliminary exams, 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

Browser-based platform, CSV-Export file, DICOM-PDF, PDF

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

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Patients suspected of (initial diagnosis), or diagnosed with (follow-up) prostate cancer.

Market Presence

On market since

08-2023

AI Platforms

Resellers

Angionautix, Bender, Medecon, Sanova, Supermedical, Tatramed

Countries present

11

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Number of analyses

Source: Vendor | First published: Sep 21, 2024 | Last updated: Jul 15, 2026