ClearRead XRay - Confirm

Riverain Technologies
ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.
Information source: Vendor
Last updated: June 20, 2022

General Information

General
Product name ClearRead XRay - Confirm
Company Riverain Technologies
Subspeciality Chest
Modality X-ray
Disease targeted Lung cancer
Key-features Improved visibility of lines and tubes
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population Adult, not pediatric
Input PA/AP chest view, showing both lungs
Input format DICOM
Output Enhanced image: enhanced visibility of line/tubes, suppression normal bone structures (ribs and clavicles)
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 | Enhance/Confirm is intended to generate an enhanced, secondary digital radiographic image of the chest to facilitate detection of line/tubes. The enhanced AP or PA image of the chest provides improved visibility of lines and tubes. The Enhance/Confirm image provides adjunctive information and is not a substitute for the original PA/AP image. This device is intended to be used by trained professionals, such as physicians, radiologists, and technicians, on patients with lines and tubes and is not intended to be used on pediatric patients.

Market

Market presence
On market since 11-2012
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) 5
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