AI-Rad Companion Chest X-ray

Siemens Healthineers

The AI-Rad Companion Chest X-ray automatically characterizes radiographic findings for a valid chest scan in the lung and pleura. It works like a second or third reader to support radiologists in differential diagnosis and clinical decision-making. It is capable of detecting pneumothorax, pulmonary lesions (nodules, masses, and granuloma), actelectasis, consolidation and pleural effusion.
Product specifications Information source: Vendor
Last updated: Oct. 22, 2021
Product name AI-Rad Companion Chest X-ray
Company Siemens Healthineers
Subspeciality Chest
Modality X-ray
Disease targeted Pulmonary lesions, pleural effusion, pneumothorax, consolidation, atelectasis
Key-features Identifying and highlighting findings, atelectasis, pleural effusion, pulmonary lesions, pneumothorax, consolidation
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population All upright chest X-rays
Input Chest/Thorax X-ray, Viewing position: posterior-anterior
Input format DICOM
Output Image annotations, Report table of suspected findings with AI confidence score
Output format DICOM
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes
Certified, Class IIa , MDR
No or not yet
Market presence
On market since 09-2020
Distribution channels Teamplay Digital Health Platform
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Subscription
Based on Number of analyses
Peer reviewed papers on performance

  • An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study (read)

Non-peer reviewed papers on performance
Other relevant papers

  • Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT (read)