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ProductsProstate Health (QUANTIB® Prostate)

Vendor source

Reviewed 29 Sept 2026

Completeness Strong (72%)

Prostate Health (QUANTIB® Prostate)

DeepHealth

The artificial intelligence-based software, Prostate Health (previously named Saige Prostate and Quantib® Prostate), provides a workflow for detection of abnormalities on MRI prostate scans.

Supported by 5 papers

Prostate Health (QUANTIB® Prostate)

Key Features

  • AI-supported ROI segmentation
  • PI-RADS v.2.1 scoring support
  • Prostate gland and zone volume measurements
  • PSA density calculation
  • Structured report

General Information

Product name

Prostate Health (QUANTIB® Prostate)

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

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

Multicentre evaluation of artificial intelligence risk classification for detection of clinically significant prostate cancer on biparametric MRI

European Radiology · Sep 2026

Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists’ outcomes

European Journal of Radiology · Dec 2023

Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers

European Journal of Radiology · Feb 2023

Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers

La radiologia medica · Sep 2022

Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study

Tomography · Aug 2022

Technical Specifications

Patient population age

Not specified

Input

MRI, T2, DWI, DCE (optional)

Input format

DICOM

Output

Segmentation overlays, segmentation series, a structured report with key images and PI-RADS

Output format

DICOM

Integration

DICOM-based integration via own zero footprint AI platform, Integration in standard reading environment (PACS)

Deployment

Cloud-based, Locally on dedicated hardware

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

Prostate MRI scans with suspicion of prostate cancer

Market Presence

On market since

10-2020

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, Number of installations

Source: Vendor | First published: Dec 19, 2023 | Last updated: Sep 29, 2026