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Key Features

  • Lesion candidate localization and classification
  • Pre-populated pi-rads report
  • Prostate gland segmentation and volumetric assessment

General Information

Product name

AI-Rad Companion Prostate MR

Subspeciality

Abdomen

Modality

MR

Disease targeted

Prostate cancer

Main task

Not specified

Technical Specifications

Population

Men with suspected cancer in treatment-naïve prostate glands

Patient population age

Not specified

Input

2D TSE axial or 3D TSE / SPACE MR image data and DWI image

Input format

DICOM

Output

Prostate gland and lesion contours, structured report with volumetrics, PSA density and classification, RTSS

Output format

DICOM, DICOM RT-STRUCT

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

Hybrid solution

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

1 - 10 minutes

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

Market Presence

On market since

05-2020

AI Platforms

Siemens Healthineers

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

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study

Peer-Reviewed

View

Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI‐algorithm for lesion detection and classification

Peer-Reviewed

View

Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI

Peer-Reviewed

View

Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI

Peer-Reviewed

View

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate

Peer-Reviewed

View

Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience

Peer-Reviewed

View

A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists

Other Articles

Other

View

Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique. _x000D_

Source: vendor | First published: Jul 19, 2023 | Last updated: Jul 10, 2025