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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

Subspeciality

Abdomen

Modality

MR

Disease targeted

Prostate cancer

Main task

Not specified

Technical Specifications

Population

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

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, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

2 - 3 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

08-2023

AI Platforms

Deepc, Sectra

Resellers

Angionautix, Bender, Medecon, Sanova, Supermedical, Tatramed

Countries present

11

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Assessment of a fully-automated diagnostic AI software in prostate MRI: Clinical evaluation and histopathological correlation

Source: vendor | First published: Sep 21, 2024 | Last updated: Jul 9, 2025