Chest X-ray
JSON twin: https://www.healthaidb.com/software/chest-x-ray.json
Company Name
Rayscape
Product URL
https://rayscape.com
Company URL
https://rayscape.com
Categories
Summary
Rayscape's Chest X-ray solution leverages AI to detect and localize 148 thoracic pathologies, enhancing diagnostic accuracy and workflow efficiency for radiologists.
Description
Rayscape's Chest X-ray solution utilizes artificial intelligence to analyze chest X-ray images, identifying and localizing 148 thoracic pathologies across 17 classes. It provides additional features such as automated cardiothoracic ratio calculation, bone suppression and subtraction, and COVID-19 scoring, offering a comprehensive overview of the patient's condition from a single scan. The system integrates seamlessly with existing infrastructure, including PACS and cloud-based platforms, and delivers results within 3 to 10 seconds, facilitating rapid clinical decision-making.
Api Available
unknown
Certifications
- CE Class I MDD
- ISO 13485
- MDR
Company Founding
2019
Company Offices
Compliance
- HIPAA
- GDPR
- ISO 13485
- CE Class I MDD
- MDR
Customers
Data Residency
Data stored on-site; no sharing with external parties
Data Standards
Deployment Model
Features
- Detection of 148 chest findings grouped into 17 classes
- Bone suppression and subtraction
- Automated cardiothoracic ratio calculation
- COVID-19 score generation
- Localization of pathologies on X-ray images
Id
SW0750
Integration Partners
Integrations
- PACS
- Alma Health Platform
- Blackford Analysis
- Deepc
- Philips Healthcare
- INFINITT AI Platform
Languages Supported
- English
- Romanian
- Polish
- Slovak
- Croatian
- Hungarian
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Integration via AI marketplace or distribution platform
- Stand-alone web-based deployment
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- Data anonymization
- No sharing of patient data with third parties
Product Code
SW0750
Product Name
Chest X-ray
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Data anonymization
- Access control for authorized staff
- Data stored on-site
Specialties
Support Channels
System Requirements
Server with 4 CPU/8 GB/500 GB or 16 CPU/32 GB/1 GPU; on-prem, hybrid, or cloud deployment
Target Users
- radiologists
- clinicians
- medical imaging professionals
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Chest X-ray",
"company_name": "Rayscape",
"product_url": "https://rayscape.com",
"company_url": "https://rayscape.com",
"related_urls": [
"https://healthairegister.com/radiology/products/rayscape-chest-x-ray"
],
"product_code": "SW0750",
"summary": "Rayscape's Chest X-ray solution leverages AI to detect and localize 148 thoracic pathologies, enhancing diagnostic accuracy and workflow efficiency for radiologists.",
"description": "Rayscape's Chest X-ray solution utilizes artificial intelligence to analyze chest X-ray images, identifying and localizing 148 thoracic pathologies across 17 classes. It provides additional features such as automated cardiothoracic ratio calculation, bone suppression and subtraction, and COVID-19 scoring, offering a comprehensive overview of the patient's condition from a single scan. The system integrates seamlessly with existing infrastructure, including PACS and cloud-based platforms, and delivers results within 3 to 10 seconds, facilitating rapid clinical decision-making.",
"categories": [
"diagnostic Support",
"clinical Care",
"radiology",
"imaging Software",
"clinical Decision Support",
"clinical Workflow Optimization",
"Diagnostic",
"Clinical",
"Radiology",
"Ai-assisted Imaging",
"Workflow Optimization"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"radiologists",
"clinicians",
"medical imaging professionals"
],
"specialties": [
"Pulmonology",
"Cardiology",
"Infectious Diseases",
"Thoracic Surgery",
"Emergency Medicine",
"Intensive Care",
"Oncology",
"Orthopedics",
"Pediatrics",
"Geriatrics",
"Sports Medicine",
"Occupational Medicine",
"Internal Medicine",
"Family Medicine",
"Urgent Care",
"Public Health",
"Preventive Medicine",
"Hospitalists",
"Critical Care",
"Pathology"
],
"regions_available": [
"Romania",
"Poland",
"Slovakia",
"Croatia",
"Hungary"
],
"languages_supported": [
"English",
"Romanian",
"Polish",
"Slovak",
"Croatian",
"Hungarian"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"Romania"
],
"company_founding": "2019",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"Detection of 148 chest findings grouped into 17 classes",
"Bone suppression and subtraction",
"Automated cardiothoracic ratio calculation",
"COVID-19 score generation",
"Localization of pathologies on X-ray images"
],
"optional_modules": [
"Integration via AI marketplace or distribution platform",
"Stand-alone web-based deployment"
],
"integrations": [
"PACS",
"Alma Health Platform",
"Blackford Analysis",
"Deepc",
"Philips Healthcare",
"INFINITT AI Platform"
],
"data_standards": [
"DICOM"
],
"api_available": "unknown",
"system_requirements": "Server with 4 CPU/8 GB/500 GB or 16 CPU/32 GB/1 GPU; on-prem, hybrid, or cloud deployment",
"compliance": [
"HIPAA",
"GDPR",
"ISO 13485",
"CE Class I MDD",
"MDR"
],
"certifications": [
"CE Class I MDD",
"ISO 13485",
"MDR"
],
"security_features": [
"Data anonymization",
"Access control for authorized staff",
"Data stored on-site"
],
"privacy_features": [
"Data anonymization",
"No sharing of patient data with third parties"
],
"data_residency": "Data stored on-site; no sharing with external parties",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0750",
"slug": "chest-x-ray",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/chest-x-ray.json"
}
}