ADVANCE Chest CT
JSON twin: https://www.healthaidb.com/software/advance-chest-ct.json
Company Name
contextflow
Product URL
https://contextflow.com/products/advance-chest-ct
Company URL
https://contextflow.com/
Categories
Summary
contextflow ADVANCE Chest CT is an AI-driven software that assists radiologists in detecting and analyzing lung conditions such as lung cancer, interstitial lung diseases (ILD), and chronic obstructive pulmonary disease (COPD) in chest CT scans.
Description
contextflow ADVANCE Chest CT is a computer-aided detection (CAD) system designed to enhance the interpretation of chest CT scans. It offers features like lung nodule detection and quantification, nodule tracking over time, and quantitative analysis of lung tissue patterns. The software integrates directly into existing PACS systems, providing radiologists with comprehensive insights to improve diagnostic accuracy and efficiency. Additionally, it includes a malignancy Similarity Index (mSI) feature, developed in collaboration with RevealDx, to assess the likelihood of malignancy in detected nodules, aiding in early lung cancer detection and reducing unnecessary procedures. The software is CE Marked and available for clinical use within Europe under the new MDR. ([contextflow.com](https://contextflow.com/2024/05/02/contextflow-targets-early-lung-cancer-detection-by-augmenting-advance-chest-ct-with-malignancy-scoring-from-revealdx/?utm_source=openai))
Api Available
no
Certifications
Company Founding
2016
Company Offices
Compliance
- CE mark
- FDA 510(k)
- HIPAA
- GDPR
Customers
Data Residency
US and EU cloud regions; on-prem deployment available
Data Standards
Deployment Model
Features
- Lung nodule detection and quantification (4-30mm diameter)
- Nodule classification: solid, part-solid, non-solid
- Lung nodule detection sensitivity: 94%
- Lung tissue analysis: segmentation and quantification of lungs, lung anomalies, and image patterns including consolidation, effusion, emphysema, ground-glass opacity, honeycombing, pneumothorax, and reticular pattern
- DICOM secondary capture: visualizes lung tissue analysis and nodules in color within native viewer
- Reporting: quantifications parsed by structured reporting tools or PACS, also available as PDF download
- Nodule tracking over time: monitors changes in detected nodules, indicating percentage growth and doubling time
- 3D image search: detects and analyzes 19 image patterns, including airway wall thickening, atelectasis, bronchiectasis, blebs, consolidation, cysts, effusion, emphysema, ground-glass opacity, honeycombing, masses, mosaic attenuation, nodules, pneumothorax, pulmonary cavities, reticular patterns, budding, and indistinct patterns
- Integration with PACS: results displayed in IDS7, DICOM output including DICOM SR, DICOM SC, and encapsulated PDF, worklist integration, pre-populated reports, and verification workflow integration
Id
SW0677
Integration Partners
Integrations
- PACS
- RIS
- VNA
- Radiology worklist
- RevealAI-Lung
Languages Supported
- English
- German
- French
- Italian
- Spanish
- Dutch
- Belgian Dutch
- UK English
- US English
- Austrian German
Last Updated
2025-10-11
License
Commercial
Market Segment
Optional Modules
- IPE (Incidental Pulmonary Embolism) detection
- Malignancy scoring via RevealAI-Lung integration
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
Subscription
Privacy Features
- BAA available
- consent management
- data anonymization/pseudonymization
Product Code
SW0677
Product Name
ADVANCE Chest CT
Ratings
Regions Available
Related Urls
Release Year
Security Features
- encryption at rest/in transit
- RBAC
- SSO/SAML
- audit logs
- 2FA
Specialties
Support Channels
System Requirements
Linux
Target Users
- Radiologists
- Medical Imaging Professionals
- Healthcare Providers
- Clinicians
- Medical Institutions
- Hospitals
- Diagnostic Centers
- Medical Imaging Centers
- Healthcare Organizations
- Medical Imaging Departments
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "ADVANCE Chest CT",
"company_name": "contextflow",
"product_url": "https://contextflow.com/products/advance-chest-ct",
"company_url": "https://contextflow.com/",
"related_urls": [
"https://healthairegister.com/radiology/products/contextflow-advance-chest-ct"
],
"product_code": "SW0677",
"summary": "contextflow ADVANCE Chest CT is an AI-driven software that assists radiologists in detecting and analyzing lung conditions such as lung cancer, interstitial lung diseases (ILD), and chronic obstructive pulmonary disease (COPD) in chest CT scans.",
"description": "contextflow ADVANCE Chest CT is a computer-aided detection (CAD) system designed to enhance the interpretation of chest CT scans. It offers features like lung nodule detection and quantification, nodule tracking over time, and quantitative analysis of lung tissue patterns. The software integrates directly into existing PACS systems, providing radiologists with comprehensive insights to improve diagnostic accuracy and efficiency. Additionally, it includes a malignancy Similarity Index (mSI) feature, developed in collaboration with RevealDx, to assess the likelihood of malignancy in detected nodules, aiding in early lung cancer detection and reducing unnecessary procedures. The software is CE Marked and available for clinical use within Europe under the new MDR. ([contextflow.com](https://contextflow.com/2024/05/02/contextflow-targets-early-lung-cancer-detection-by-augmenting-advance-chest-ct-with-malignancy-scoring-from-revealdx/?utm_source=openai))",
"categories": [
"clinical Care",
"diagnostic Support",
"radiology",
"imaging Software",
"ai Clinical Documentation Integrity",
"clinical Decision Support",
"healthcare Software Solutions",
"healthcare It",
"medical Device",
"Clinical",
"Diagnostic",
"Radiology",
"Medical Imaging",
"Artificial Intelligence",
"Computer-aided Detection",
"Lung Imaging",
"Medical Software",
"Healthcare It",
"Medical Device"
],
"market_segment": [
"Enterprise",
"SMB"
],
"target_users": [
"Radiologists",
"Medical Imaging Professionals",
"Healthcare Providers",
"Clinicians",
"Medical Institutions",
"Hospitals",
"Diagnostic Centers",
"Medical Imaging Centers",
"Healthcare Organizations",
"Medical Imaging Departments"
],
"specialties": [
"Radiology",
"Pulmonology",
"Oncology",
"Thoracic Surgery",
"Internal Medicine",
"Chest Medicine",
"Respiratory Medicine",
"Medical Imaging",
"Medical Informatics",
"Healthcare Technology"
],
"regions_available": [
"Austria",
"Germany",
"Switzerland",
"France",
"Italy",
"Spain",
"Netherlands",
"Belgium",
"United Kingdom",
"United States"
],
"languages_supported": [
"English",
"German",
"French",
"Italian",
"Spanish",
"Dutch",
"Belgian Dutch",
"UK English",
"US English",
"Austrian German"
],
"pricing_model": "Subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "Commercial",
"company_offices": [
"Austria",
"Germany",
"United States",
"United Kingdom",
"France",
"Italy",
"Spain",
"Netherlands",
"Belgium",
"Switzerland"
],
"company_founding": "2016",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"Lung nodule detection and quantification (4-30mm diameter)",
"Nodule classification: solid, part-solid, non-solid",
"Lung nodule detection sensitivity: 94%",
"Lung tissue analysis: segmentation and quantification of lungs, lung anomalies, and image patterns including consolidation, effusion, emphysema, ground-glass opacity, honeycombing, pneumothorax, and reticular pattern",
"DICOM secondary capture: visualizes lung tissue analysis and nodules in color within native viewer",
"Reporting: quantifications parsed by structured reporting tools or PACS, also available as PDF download",
"Nodule tracking over time: monitors changes in detected nodules, indicating percentage growth and doubling time",
"3D image search: detects and analyzes 19 image patterns, including airway wall thickening, atelectasis, bronchiectasis, blebs, consolidation, cysts, effusion, emphysema, ground-glass opacity, honeycombing, masses, mosaic attenuation, nodules, pneumothorax, pulmonary cavities, reticular patterns, budding, and indistinct patterns",
"Integration with PACS: results displayed in IDS7, DICOM output including DICOM SR, DICOM SC, and encapsulated PDF, worklist integration, pre-populated reports, and verification workflow integration"
],
"optional_modules": [
"IPE (Incidental Pulmonary Embolism) detection",
"Malignancy scoring via RevealAI-Lung integration"
],
"integrations": [
"PACS",
"RIS",
"VNA",
"Radiology worklist",
"RevealAI-Lung"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"IHE"
],
"api_available": "no",
"system_requirements": "Linux",
"compliance": [
"CE mark",
"FDA 510(k)",
"HIPAA",
"GDPR"
],
"certifications": [
"FDA 510(k)",
"CE mark"
],
"security_features": [
"encryption at rest/in transit",
"RBAC",
"SSO/SAML",
"audit logs",
"2FA"
],
"privacy_features": [
"BAA available",
"consent management",
"data anonymization/pseudonymization"
],
"data_residency": "US and EU cloud regions; on-prem deployment available",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0677",
"slug": "advance-chest-ct",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/advance-chest-ct.json"
}
}