Insight CXR
JSON twin: https://www.healthaidb.com/software/insight-cxr.json
Company Name
Lunit
Product URL
https://www.lunit.io/products/cxr
Company URL
https://www.lunit.io
Categories
Summary
Lunit INSIGHT CXR is an AI-powered chest X-ray analysis solution that detects 11 radiologic abnormalities, including tuberculosis, and supports 45 different diagnoses, enhancing diagnostic accuracy and efficiency for radiologists.
Description
Lunit INSIGHT CXR is an AI-driven software designed to analyze chest X-ray images, identifying 11 major abnormalities such as nodules, consolidation, pneumothorax, pleural effusion, atelectasis, pneumoperitoneum, cardiomegaly, mediastinal widening, calcification, fibrosis, and acute bone fractures. It also supports tuberculosis screening, enabling the detection of 45 different diagnoses. The software integrates seamlessly into existing radiology workflows, offering features like normal flagging, automated report generation, and current-prior comparison for nodule progression tracking. Lunit INSIGHT CXR has demonstrated high accuracy, with an Area Under the Curve (AUC) ranging from 97% to 99%, and has been validated in multiple studies, including a head-to-head study published in 'Radiology' that showed an AUC of 0.93 in lung nodule detection. The product has received FDA 510(k) clearance and CE marking, facilitating its deployment in various healthcare settings worldwide.
Api Available
yes
Certifications
- FDA 510(k) clearance
- CE mark
- MFDS approval (Korea)
- ISO 13485:2016
- ISO/IEC 27001
- MDSAP
Company Founding
2013
Company Offices
Compliance
- HIPAA
- GDPR
- FDA 510(k)
- CE mark
- ISO 13485
- ISO/IEC 27001
- MDSAP
Customers
Data Residency
US and EU region hosting options; cloud region selection / BYO cloud region possible (on-prem available)
Data Standards
- DICOM
- HL7 v2
- FHIR
- SNOMED CT
- ICD-10
Deployment Model
- on_prem
- cloud
- hybrid
- SaaS
Features
- Automated detection of 11 chest X-ray findings: nodule, consolidation, pneumothorax, pleural effusion, atelectasis, pneumoperitoneum, cardiomegaly, mediastinal widening, calcification, fibrosis, tuberculosis support
- Abnormality scores for case-level and lesion-level assessments
- Heatmap and contour overlays for lesion localization
- Normal case flagging with automated report generation
- Acute bone fracture detection in ribs, clavicle, scapula, and humerus
- Current-prior comparison for nodule progression tracking
Id
SW2841
Integration Partners
Integrations
- PACS
- RIS
- EHR
- Samsung X-ray devices
- GE Healthcare
- Philips
- Fujifilm
- Sectra
- Agfa
- Infinite
- Guardant
- Emergent
- Incepto
- Volpara Health
- Microsoft
- Blackford Analysis
- Deepc
- NTT DATA Singapore
- Mosaic Breast Imaging
- SimonMed Imaging
- UC Davis Health
Languages Supported
- English
- Korean
- Spanish
- Chinese
- Arabic
- Thai
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Lunit INSIGHT CXR Triage for emergency case triage
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW2841
Product Name
Insight CXR
Ratings
Regions Available
Related Urls
Release Year
2024
Security Features
- TLS encryption in transit
- At-rest encryption
- Role-based access control (RBAC)
- SSO/SAML support
- Audit logging
Specialties
Support Channels
System Requirements
DICOM connectivity; Linux server for on-prem; GPU recommended for inference; network access to PACS/RIS/EHR
Target Users
- radiologists
- clinicians
- medical imaging professionals
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Insight CXR",
"company_name": "Lunit",
"product_url": "https://www.lunit.io/products/cxr",
"company_url": "https://www.lunit.io",
"related_urls": [],
"product_code": "SW2841",
"summary": "Lunit INSIGHT CXR is an AI-powered chest X-ray analysis solution that detects 11 radiologic abnormalities, including tuberculosis, and supports 45 different diagnoses, enhancing diagnostic accuracy and efficiency for radiologists.",
"description": "Lunit INSIGHT CXR is an AI-driven software designed to analyze chest X-ray images, identifying 11 major abnormalities such as nodules, consolidation, pneumothorax, pleural effusion, atelectasis, pneumoperitoneum, cardiomegaly, mediastinal widening, calcification, fibrosis, and acute bone fractures. It also supports tuberculosis screening, enabling the detection of 45 different diagnoses. The software integrates seamlessly into existing radiology workflows, offering features like normal flagging, automated report generation, and current-prior comparison for nodule progression tracking. Lunit INSIGHT CXR has demonstrated high accuracy, with an Area Under the Curve (AUC) ranging from 97% to 99%, and has been validated in multiple studies, including a head-to-head study published in 'Radiology' that showed an AUC of 0.93 in lung nodule detection. The product has received FDA 510(k) clearance and CE marking, facilitating its deployment in various healthcare settings worldwide.",
"categories": [
"diagnostic Support",
"clinical Care",
"radiology",
"imaging Software",
"clinical Workflow Optimization",
"Diagnostic",
"Clinical",
"Radiology",
"Ai-powered Imaging",
"Workflow Optimization"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"radiologists",
"clinicians",
"medical imaging professionals"
],
"specialties": [
"Radiology",
"Pulmonology",
"Oncology",
"Emergency Medicine",
"Infectious Diseases"
],
"regions_available": [
"United States",
"European Union",
"South Korea",
"Mexico",
"UAE",
"China",
"Thailand"
],
"languages_supported": [
"English",
"Korean",
"Spanish",
"Chinese",
"Arabic",
"Thai"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"South Korea",
"United States",
"Germany",
"China",
"Japan",
"India",
"Brazil",
"Mexico",
"UAE",
"Thailand"
],
"company_founding": "2013",
"deployment_model": [
"on_prem",
"cloud",
"hybrid",
"SaaS"
],
"os_platforms": [
"Web",
"Linux"
],
"features": [
"Automated detection of 11 chest X-ray findings: nodule, consolidation, pneumothorax, pleural effusion, atelectasis, pneumoperitoneum, cardiomegaly, mediastinal widening, calcification, fibrosis, tuberculosis support",
"Abnormality scores for case-level and lesion-level assessments",
"Heatmap and contour overlays for lesion localization",
"Normal case flagging with automated report generation",
"Acute bone fracture detection in ribs, clavicle, scapula, and humerus",
"Current-prior comparison for nodule progression tracking"
],
"optional_modules": [
"Lunit INSIGHT CXR Triage for emergency case triage"
],
"integrations": [
"PACS",
"RIS",
"EHR",
"Samsung X-ray devices",
"GE Healthcare",
"Philips",
"Fujifilm",
"Sectra",
"Agfa",
"Infinite",
"Guardant",
"Emergent",
"Incepto",
"Volpara Health",
"Microsoft",
"Blackford Analysis",
"Deepc",
"NTT DATA Singapore",
"Mosaic Breast Imaging",
"SimonMed Imaging",
"UC Davis Health"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"SNOMED CT",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "DICOM connectivity; Linux server for on-prem; GPU recommended for inference; network access to PACS/RIS/EHR",
"compliance": [
"HIPAA",
"GDPR",
"FDA 510(k)",
"CE mark",
"ISO 13485",
"ISO/IEC 27001",
"MDSAP"
],
"certifications": [
"FDA 510(k) clearance",
"CE mark",
"MFDS approval (Korea)",
"ISO 13485:2016",
"ISO/IEC 27001",
"MDSAP"
],
"security_features": [
"TLS encryption in transit",
"At-rest encryption",
"Role-based access control (RBAC)",
"SSO/SAML support",
"Audit logging"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US and EU region hosting options; cloud region selection / BYO cloud region possible (on-prem available)",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "2024",
"integration_partners": [],
"id": "SW2841",
"slug": "insight-cxr",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/insight-cxr.json"
}
}