Vendor source

Reviewed 11 May 2026

Completeness Comprehensive (81%)

VUNO Med®-Chest X-ray™

VUNO

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.

Supported by 4 papers

Key Features

  • Abnormality detection

General Information

Product name

VUNO Med®-Chest X-ray™

Company

Modality

X-ray

Main task

Not specified

Subspeciality

Chest

Disease targeted

Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

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

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

< 10 seconds

Population

All population with a risk of thoracic abnormalities

Market Presence

On market since

06-2020

AI Platforms

Resellers

Samsung Electronics

Countries present

10+

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jan 15, 2024 | Last updated: May 11, 2026