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ProductsPAROS

Vendor source

Reviewed 11 May 2026

Completeness Strong (67%)

PAROS

Incepto

PAROS is an Artificial Intelligence Augmented Radiology solution for prostate MRI. It automatically segments the prostate to estimate its volume. The prostate lesions are automatically detected, segmented, characterized and shown in the PIRADS schema with their respective level of suspicion.

Supported by 1 paper

PAROS
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Key Features

  • PI-RADS support
  • Prostate segmentation and volumetrics
  • Segmentation and characterization

General Information

Product name

PAROS

Company

Modality

MR

Main task

Not specified

Subspeciality

Abdomen

Disease targeted

Prostate cancer

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Not verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

Input

T2 (axial or 3D), ADC map, Diffusion series with the highest B-value

Input format

DICOM

Output

Overlay of the segmented prostate and detected lesion(s), heatmap overlay which highlights suspicious areas in the prostate, prefilled report as DICOM SC.

Output format

DICOM

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

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

Any patient over 18 years old for which a prostate MRI examination has been indicated

Market Presence

On market since

07-2024

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Nov 6, 2024 | Last updated: May 11, 2026