VUNO Med - Chest X-ray
JSON twin: https://www.healthaidb.com/software/vuno-med-chest-x-ray-f5bfae.json
Company Name
VUNO
Product URL
https://vuno.co.kr/en/product/med-chest-x-ray
Company URL
https://vuno.co.kr
Categories
Summary
VUNO Med®-Chest X-ray™ is an AI-powered diagnostic support tool that assists clinicians in detecting thoracic abnormalities on chest X-rays, aiding in the diagnosis of lung diseases such as lung cancer, tuberculosis, and pneumonia.
Description
VUNO Med®-Chest X-ray™ utilizes deep learning algorithms to analyze chest X-ray images, identifying major thoracic abnormalities like nodules/masses, pneumothorax, interstitial opacity, pleural effusion, and consolidation. It integrates seamlessly with Picture Archiving and Communication Systems (PACS) and offers cloud-based services, enhancing workflow efficiency and diagnostic accuracy. The solution has been validated through clinical trials, demonstrating a 50% reduction in reading time and a 5.8% improvement in lesion detection performance. It has received regulatory approvals, including the MFDS (K-FDA) and CE certifications, and is integrated into Samsung's digital radiography systems, such as the GM85 mobile X-ray system and the GC85A ceiling-type digital radiography system.
Api Available
unknown
Certifications
- CE Class IIa MDD
- FDA 510(k) Class II
Company Founding
2014
Company Offices
Compliance
- HIPAA
- GDPR
- HITECH
- SOC 2
- ISO 27001
Customers
Data Residency
US/EU regions
Data Standards
Deployment Model
- cloud-based
- hybrid solution
- locally on dedicated hardware
- locally virtualized (virtual machine, Docker)
Features
- Abnormality detection
- Lesion heatmap generation
- Lesion boundary delineation
- Integration with PACS
- Integration via AI marketplace or distribution platform
- Stand-alone third-party application
- Stand-alone web-based application
- Automatic analysis trigger post-image acquisition
- Processing time under 3 seconds
Id
SW0770
Integration Partners
Integrations
- PACS
- AI marketplace
- Third-party applications
- Web-based platforms
Languages Supported
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Report suggestion
- Interactive decision support
- Perception aid
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
contact vendor
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0770
Product Name
VUNO Med - Chest X-ray
Ratings
- "VUNO Med - Chest X-ray" received the Class IIa CE marking, allowing commercialization in 27 EU member states and other regions."
Regions Available
Related Urls
Release Year
2020
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
- DLP
Specialties
Support Channels
- email
- phone
- chat
- ticketing
- community
- 24x7
System Requirements
Dedicated hardware, Virtual machine, Docker
Target Users
- clinicians
- radiologists
- medical imaging professionals
Training Options
- documentation
- webinars
- live_online
- onsite
- certification
Type
product
User Reviews
- VUNO Med - Chest X-ray has greatly enhanced the screening function of chest X-rays by detecting the most common thoracic findings and diseases through chest X-ray images that are difficult to be identified at an early stage.
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "VUNO Med - Chest X-ray",
"company_name": "VUNO",
"product_url": "https://vuno.co.kr/en/product/med-chest-x-ray",
"company_url": "https://vuno.co.kr",
"related_urls": [
"https://healthairegister.com/radiology/products/vuno-chest-xray"
],
"product_code": "SW0770",
"summary": "VUNO Med®-Chest X-ray™ is an AI-powered diagnostic support tool that assists clinicians in detecting thoracic abnormalities on chest X-rays, aiding in the diagnosis of lung diseases such as lung cancer, tuberculosis, and pneumonia.",
"description": "VUNO Med®-Chest X-ray™ utilizes deep learning algorithms to analyze chest X-ray images, identifying major thoracic abnormalities like nodules/masses, pneumothorax, interstitial opacity, pleural effusion, and consolidation. It integrates seamlessly with Picture Archiving and Communication Systems (PACS) and offers cloud-based services, enhancing workflow efficiency and diagnostic accuracy. The solution has been validated through clinical trials, demonstrating a 50% reduction in reading time and a 5.8% improvement in lesion detection performance. It has received regulatory approvals, including the MFDS (K-FDA) and CE certifications, and is integrated into Samsung's digital radiography systems, such as the GM85 mobile X-ray system and the GC85A ceiling-type digital radiography system.",
"categories": [
"diagnostic Support",
"clinical Care",
"radiology",
"imaging Software",
"Diagnostic",
"Clinical",
"Radiology",
"Ai-powered Imaging"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"radiologists",
"medical imaging professionals"
],
"specialties": [
"Pulmonology",
"Radiology",
"Thoracic Medicine"
],
"regions_available": [
"South Korea",
"European Union",
"United States",
"Asia",
"Europe",
"Middle East",
"South America",
"Central America",
"Africa"
],
"languages_supported": [
"Korean",
"English"
],
"pricing_model": "subscription",
"pricing_details": "contact vendor",
"license": "commercial",
"company_offices": [
"South Korea",
"United States",
"Germany",
"Japan",
"China",
"India",
"Brazil",
"United Kingdom",
"France",
"Italy"
],
"company_founding": "2014",
"deployment_model": [
"cloud-based",
"hybrid solution",
"locally on dedicated hardware",
"locally virtualized (virtual machine, Docker)"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"features": [
"Abnormality detection",
"Lesion heatmap generation",
"Lesion boundary delineation",
"Integration with PACS",
"Integration via AI marketplace or distribution platform",
"Stand-alone third-party application",
"Stand-alone web-based application",
"Automatic analysis trigger post-image acquisition",
"Processing time under 3 seconds"
],
"optional_modules": [
"Report suggestion",
"Interactive decision support",
"Perception aid"
],
"integrations": [
"PACS",
"AI marketplace",
"Third-party applications",
"Web-based platforms"
],
"data_standards": [
"DICOM",
"GSPS"
],
"api_available": "unknown",
"system_requirements": "Dedicated hardware, Virtual machine, Docker",
"compliance": [
"HIPAA",
"GDPR",
"HITECH",
"SOC 2",
"ISO 27001"
],
"certifications": [
"CE Class IIa MDD",
"FDA 510(k) Class II"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"Audit logs",
"2FA",
"DLP"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US/EU regions",
"customers": [
"VUNO Med - Chest X-ray"
],
"user_reviews": [
"VUNO Med - Chest X-ray has greatly enhanced the screening function of chest X-rays by detecting the most common thoracic findings and diseases through chest X-ray images that are difficult to be identified at an early stage."
],
"ratings": [
"\"VUNO Med - Chest X-ray\" received the Class IIa CE marking, allowing commercialization in 27 EU member states and other regions.\""
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community",
"24x7"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "2020",
"integration_partners": [
"Carestream Health"
],
"id": "SW0770",
"slug": "vuno-med-chest-x-ray-f5bfae",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/vuno-med-chest-x-ray-f5bfae.json"
}
}