ClearRead Xray - Detect

Riverain Technologies
ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.
Information source: Vendor
Last updated: June 20, 2022

General Information

General
Product name ClearRead Xray - Detect
Company Riverain Technologies
Subspeciality Chest
Modality X-ray
Disease targeted Lung cancer
Key-features Lung nodule detection of nodules of 9 to 30 mm in size
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population Adult, not pediatric
Input PA/AP chest view, showing both lungs
Input format DICOM
Output Segmentation overlay
Output format DICOM Secondary Capture
Technology
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE) ClearRead Xray Detect is a computer-aided detection (CAD) system intended to identify and mark regions of interest (ROIs) on digital or digitized frontal chest radiographs. It identifies features associated with solitary pulmonary nodules from 9 to 30 mm in size, which could represent early-stage lung cancer. The device is intended for use as an aid only after the physician has performed an initial interpretation of the radiograph.

Market

Market presence
On market since 11-2008
Distribution channels Sectra Amplifier Store, Aidoc aiOS, Volpara Health, GE Healthcare
Countries present (clinical, non-research use) 13
Paying clinical customers (institutes) 200+
Research/test users (institutes) 6
Pricing
Pricing model Subscription, One-time license fee
Based on Number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers