Rayscape's Chest X-ray solution identifies a total of 17 common radiological findings, showing their location on the x-ray scan and providing doctors with additional information such as the CTR index and bone suppressed and subtracted versions of the medical image.

*The company was previously named XVision, and the product CheXVision
Product specifications Information source: Vendor
Last updated: Oct. 27, 2022
Product name Chest X-ray
Company Rayscape
Subspeciality Chest
Modality X-ray
Disease targeted 17 pathologies: Lung Opacity, Atelectasis, Cardiomegly, Consolidation, Edema, Diaphragmatic Dysfunction, Emphysema, Fracture, Hilar/Mediastinal Disease, Interstitial Disease, Lung Lesion, Pleural Effusion, Pleural Other, Pneumothorax, Scoliosis, Support Devices, Tuberculosis
Key-features Detection of 17 chest abnormalities, bone suppression, automated cardiothoracic ratio
Suggested use Before: flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps)
After: diagnosis verification
Data characteristics
Population All chest x-rays of patients above 16 years old
Input Chest x-ray frontal PA or AP, lateral not supported
Input format DICOM
Output heatmap, bone subtracted XR, suppressed XR, probability score per abnormality, cardiothoracic ratio, COVID score
Output format DICOM
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time 3 - 10 seconds
Certified, Class I , MDD
No or not yet
Market presence
On market since 01-2021
Distribution channels PixelData
Countries present (clinical, non-research use) 4
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Subscription
Based on Number of analyses
Peer reviewed papers on performance
Non-peer reviewed papers on performance

  • Assisting Radiologists Through Automatic Cardiothoracic Ratio Calculation (read)

  • Assisting Radiologists in X-Ray Diagnostics (read)

Other relevant papers