VUNO Med®-Chest X-ray™

VUNO Med® Chest X-Ray™ is a deep learning-based screening solution for five major lung diseases - Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion - on chest X-ray (PA/AP) images. This algorithm provides information on the presence of the abnormalities, their names, abnormality scores, and locations.
Information source: Vendor
Last updated: Jan. 15, 2024

General Information

Product name VUNO Med®-Chest X-ray™
Company VUNO
Subspeciality Chest
Modality X-ray
Disease targeted Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion
Key-features Abnormality detection
Suggested use Before: adapting worklist order, flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population All population with a risk of thoracic abnormalities
Input Chest XR PA/AP images
Input format DICOM
Output Abnormality score, Lesion heatmap, Lesion boundary
Output format DICOM, GSPS
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis Automatically, right after the image acquisition
Processing time < 3 sec


Certified, Class IIa , MDD
FDA No or not yet
Intended Use Statements
Intended use (according to CE)


Market presence
On market since 06-2020
Distribution channels Tempus Pixel, Samsung Electronics
Countries present (clinical, non-research use) 10+
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on Number of analyses


Peer reviewed papers on performance

  • Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction (read)

  • The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary nodule (read)

  • Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings (read)

  • Added Value of Deep Learning–based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study (read)

Non-peer reviewed papers on performance
Other relevant papers

  • Deep Learning-Based Automatic Chest PA Screening System for Various Devices and Hospitals, RSNA 2018 (read)

  • Deep Learning-Based Computer-Aided Detection System for Multiclass Multiple Lesions on Chest Radiographs: Observers’ Performance Study, RSNA 2018 (read)

  • Evaluation of the Performance of Deep Learning Models Trained on a Combination of Major Abnormal Patterns on Chest Radiographs for Major Chest Diseases at International Multi-centers, RSNA 2019 (read)